diff --git a/.github/wordlist.txt b/.github/wordlist.txt
index a9f22d7c..36525168 100644
--- a/.github/wordlist.txt
+++ b/.github/wordlist.txt
@@ -83,4 +83,9 @@ gg
 labelColor
 logoColor
 svg
-yml
\ No newline at end of file
+yml
+
+socio
+sexualized
+www
+faq
diff --git a/.github/workflows/e2e-tests.yml b/.github/workflows/e2e-tests.yml
index 8f46ca89..898d7284 100644
--- a/.github/workflows/e2e-tests.yml
+++ b/.github/workflows/e2e-tests.yml
@@ -30,7 +30,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: '3.11'
+        python-version: '3.12'
 
     - name: Install pipenv
       run: |
diff --git a/.github/workflows/pylint.yml b/.github/workflows/pylint.yml
index 88e5ee76..6a99b0be 100644
--- a/.github/workflows/pylint.yml
+++ b/.github/workflows/pylint.yml
@@ -14,7 +14,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: '3.11'
+        python-version: '3.12'
 
     - name: Install pipenv
       run: |
diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index 756a17ad..0b769636 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -30,7 +30,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: '3.11'
+        python-version: '3.12'
 
     - name: Install pipenv
       run: |
@@ -81,7 +81,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: '3.11'
+        python-version: '3.12'
 
     - name: Install pipenv
       run: |
diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
new file mode 100644
index 00000000..71f08cf6
--- /dev/null
+++ b/CODE_OF_CONDUCT.md
@@ -0,0 +1,128 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+info@falkordb.com.
+All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series
+of actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or
+permanent ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior,  harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within
+the community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by [Mozilla's code of conduct
+enforcement ladder](https://github.com/mozilla/diversity).
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.
diff --git a/Dockerfile b/Dockerfile
index 33604fe4..63e218e6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -13,10 +13,12 @@ USER root
 # Copy Python 3.12 from the python base image
 COPY --from=python-base /usr/local /usr/local
 
-# Install netcat for wait loop in start.sh
-RUN apt-get update && apt-get install -y \
+# Install netcat for wait loop in start.sh and system build tools needed for
+# compiling Python wheels (g++, make, libc-dev)
+RUN apt-get update && apt-get install -y --no-install-recommends \
     netcat-openbsd \
     git \
+    build-essential \
     && rm -rf /var/lib/apt/lists/* \
     && ln -sf /usr/local/bin/python3.12 /usr/bin/python3 \
     && ln -sf /usr/local/bin/python3.12 /usr/bin/python
diff --git a/Pipfile b/Pipfile
index 4bad7edf..4c425c56 100644
--- a/Pipfile
+++ b/Pipfile
@@ -4,27 +4,27 @@ verify_ssl = true
 name = "pypi"
 
 [packages]
-fastapi = "~=0.116.1"
-uvicorn = "~=0.35.0"
-litellm = "~=1.76.0"
+fastapi = "~=0.118.0"
+uvicorn = "~=0.37.0"
+litellm = "~=1.77.3"
 falkordb = "~=1.2.0"
 psycopg2-binary = "~=2.9.9"
 pymysql = "~=1.1.0"
-authlib = "~=1.6.2"
+authlib = "~=1.6.4"
 itsdangerous = "~=2.2.0"
 jsonschema = "~=4.25.0"
 tqdm = "~=4.67.1"
 python-multipart = "~=0.0.10"
 jinja2 = "~=3.1.4"
-fastapi-mcp = "~=0.4.0"
 graphiti-core = {ref = "staging", git = "git+https://github.com/FalkorDB/graphiti.git"}
+fastmcp = "~=2.12.4"
 
 [dev-packages]
-pytest = "~=8.4.1"
+pytest = "~=8.4.2"
 pylint = "~=3.3.4"
-playwright = "~=1.54.0"
-pytest-playwright = "~=0.7.0"
-pytest-asyncio = "~=1.1.0"
+playwright = "~=1.55.0"
+pytest-playwright = "~=0.7.1"
+pytest-asyncio = "~=1.2.0"
 
 [requires]
-python_version = "3.11"
+python_version = "3.12"
diff --git a/Pipfile.lock b/Pipfile.lock
index bca057b1..b74b2fbb 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,11 +1,11 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "bb36269d46ade394d0e8827f1b32cfaf7f8dd57ea8310571ba0d4f2250f40eb8"
+            "sha256": "068fba0bf4eb3284bbc72a94e3afe6f34ecb3a8419621fef65c2e40ba9ae157b"
         },
         "pipfile-spec": 6,
         "requires": {
-            "python_version": "3.11"
+            "python_version": "3.12"
         },
         "sources": [
             {
@@ -26,95 +26,129 @@
         },
         "aiohttp": {
             "hashes": [
-                "sha256:010cc9bbd06db80fe234d9003f67e97a10fe003bfbedb40da7d71c1008eda0fe",
-                "sha256:049ec0360f939cd164ecbfd2873eaa432613d5e77d6b04535e3d1fbae5a9e645",
-                "sha256:098e92835b8119b54c693f2f88a1dec690e20798ca5f5fe5f0520245253ee0af",
-                "sha256:0a146708808c9b7a988a4af3821379e379e0f0e5e466ca31a73dbdd0325b0263",
-                "sha256:0a23918fedc05806966a2438489dcffccbdf83e921a1170773b6178d04ade142",
-                "sha256:0c643f4d75adea39e92c0f01b3fb83d57abdec8c9279b3078b68a3a52b3933b6",
-                "sha256:1004e67962efabbaf3f03b11b4c43b834081c9e3f9b32b16a7d97d4708a9abe6",
-                "sha256:14954a2988feae3987f1eb49c706bff39947605f4b6fa4027c1d75743723eb09",
-                "sha256:1a649001580bdb37c6fdb1bebbd7e3bc688e8ec2b5c6f52edbb664662b17dc84",
-                "sha256:2776c7ec89c54a47029940177e75c8c07c29c66f73464784971d6a81904ce9d1",
-                "sha256:2abbb216a1d3a2fe86dbd2edce20cdc5e9ad0be6378455b05ec7f77361b3ab50",
-                "sha256:2c7d81a277fa78b2203ab626ced1487420e8c11a8e373707ab72d189fcdad20a",
-                "sha256:2ce13fcfb0bb2f259fb42106cdc63fa5515fb85b7e87177267d89a771a660b79",
-                "sha256:2e5a495cb1be69dae4b08f35a6c4579c539e9b5706f606632102c0f855bcba7c",
-                "sha256:2ee8a8ac39ce45f3e55663891d4b1d15598c157b4d494a4613e704c8b43112cd",
-                "sha256:3b6f0af863cf17e6222b1735a756d664159e58855da99cfe965134a3ff63b0b0",
-                "sha256:3bdd6e17e16e1dbd3db74d7f989e8af29c4d2e025f9828e6ef45fbdee158ec75",
-                "sha256:3beb14f053222b391bf9cf92ae82e0171067cc9c8f52453a0f1ec7c37df12a77",
-                "sha256:3c5092ce14361a73086b90c6efb3948ffa5be2f5b6fbcf52e8d8c8b8848bb97c",
-                "sha256:3ead1c00f8521a5c9070fcb88f02967b1d8a0544e6d85c253f6968b785e1a2ab",
-                "sha256:3eae49032c29d356b94eee45a3f39fdf4b0814b397638c2f718e96cfadf4c4e4",
-                "sha256:3f9d7c55b41ed687b9d7165b17672340187f87a773c98236c987f08c858145a9",
-                "sha256:40b3fee496a47c3b4a39a731954c06f0bd9bd3e8258c059a4beb76ac23f8e421",
-                "sha256:421da6fd326460517873274875c6c5a18ff225b40da2616083c5a34a7570b685",
-                "sha256:4420cf9d179ec8dfe4be10e7d0fe47d6d606485512ea2265b0d8c5113372771b",
-                "sha256:46749be6e89cd78d6068cdf7da51dbcfa4321147ab8e4116ee6678d9a056a0cf",
-                "sha256:47f6b962246f0a774fbd3b6b7be25d59b06fdb2f164cf2513097998fc6a29693",
-                "sha256:4c39e87afe48aa3e814cac5f535bc6199180a53e38d3f51c5e2530f5aa4ec58c",
-                "sha256:4fc61385e9c98d72fcdf47e6dd81833f47b2f77c114c29cd64a361be57a763a2",
-                "sha256:5015082477abeafad7203757ae44299a610e89ee82a1503e3d4184e6bafdd519",
-                "sha256:5346b93e62ab51ee2a9d68e8f73c7cf96ffb73568a23e683f931e52450e4148d",
-                "sha256:536ad7234747a37e50e7b6794ea868833d5220b49c92806ae2d7e8a9d6b5de02",
-                "sha256:56822ff5ddfd1b745534e658faba944012346184fbfe732e0d6134b744516eea",
-                "sha256:57d16590a351dfc914670bd72530fd78344b885a00b250e992faea565b7fdc05",
-                "sha256:5fa5d9eb82ce98959fc1031c28198b431b4d9396894f385cb63f1e2f3f20ca6b",
-                "sha256:6404dfc8cdde35c69aaa489bb3542fb86ef215fc70277c892be8af540e5e21c0",
-                "sha256:6443cca89553b7a5485331bc9bedb2342b08d073fa10b8c7d1c60579c4a7b9bd",
-                "sha256:691d203c2bdf4f4637792efbbcdcd157ae11e55eaeb5e9c360c1206fb03d4d98",
-                "sha256:6990ef617f14450bc6b34941dba4f12d5613cbf4e33805932f853fbd1cf18bfb",
-                "sha256:6c5f40ec615e5264f44b4282ee27628cea221fcad52f27405b80abb346d9f3f8",
-                "sha256:6d86a2fbdd14192e2f234a92d3b494dd4457e683ba07e5905a0b3ee25389ac9f",
-                "sha256:74bdd8c864b36c3673741023343565d95bfbd778ffe1eb4d412c135a28a8dc89",
-                "sha256:74dad41b3458dbb0511e760fb355bb0b6689e0630de8a22b1b62a98777136e16",
-                "sha256:760fb7db442f284996e39cf9915a94492e1896baac44f06ae551974907922b64",
-                "sha256:79b26fe467219add81d5e47b4a4ba0f2394e8b7c7c3198ed36609f9ba161aecb",
-                "sha256:7c7dd29c7b5bda137464dc9bfc738d7ceea46ff70309859ffde8c022e9b08ba7",
-                "sha256:7fbc8a7c410bb3ad5d595bb7118147dfbb6449d862cc1125cf8867cb337e8728",
-                "sha256:802d3868f5776e28f7bf69d349c26fc0efadb81676d0afa88ed00d98a26340b7",
-                "sha256:83603f881e11f0f710f8e2327817c82e79431ec976448839f3cd05d7afe8f830",
-                "sha256:8466151554b593909d30a0a125d638b4e5f3836e5aecde85b66b80ded1cb5b0d",
-                "sha256:86ceded4e78a992f835209e236617bffae649371c4a50d5e5a3987f237db84b8",
-                "sha256:894261472691d6fe76ebb7fcf2e5870a2ac284c7406ddc95823c8598a1390f0d",
-                "sha256:8e995e1abc4ed2a454c731385bf4082be06f875822adc4c6d9eaadf96e20d406",
-                "sha256:8faa08fcc2e411f7ab91d1541d9d597d3a90e9004180edb2072238c085eac8c2",
-                "sha256:9b2af240143dd2765e0fb661fd0361a1b469cab235039ea57663cda087250ea9",
-                "sha256:9f922ffd05034d439dde1c77a20461cf4a1b0831e6caa26151fe7aa8aaebc315",
-                "sha256:a041e7e2612041a6ddf1c6a33b883be6a421247c7afd47e885969ee4cc58bd8d",
-                "sha256:aaa2234bb60c4dbf82893e934d8ee8dea30446f0647e024074237a56a08c01bd",
-                "sha256:ac77f709a2cde2cc71257ab2d8c74dd157c67a0558a0d2799d5d571b4c63d44d",
-                "sha256:ad702e57dc385cae679c39d318def49aef754455f237499d5b99bea4ef582e51",
-                "sha256:b2acbbfff69019d9014508c4ba0401822e8bae5a5fdc3b6814285b71231b60f3",
-                "sha256:b390ef5f62bb508a9d67cb3bba9b8356e23b3996da7062f1a57ce1a79d2b3d34",
-                "sha256:b52dcf013b57464b6d1e51b627adfd69a8053e84b7103a7cd49c030f9ca44461",
-                "sha256:b5b7fe4972d48a4da367043b8e023fb70a04d1490aa7d68800e465d1b97e493b",
-                "sha256:b6fc902bff74d9b1879ad55f5404153e2b33a82e72a95c89cec5eb6cc9e92fbc",
-                "sha256:b7011a70b56facde58d6d26da4fec3280cc8e2a78c714c96b7a01a87930a9530",
-                "sha256:b761bac1192ef24e16706d761aefcb581438b34b13a2f069a6d343ec8fb693a5",
-                "sha256:b784d6ed757f27574dca1c336f968f4e81130b27595e458e69457e6878251f5d",
-                "sha256:b97752ff12cc12f46a9b20327104448042fce5c33a624f88c18f66f9368091c7",
-                "sha256:bc4fbc61bb3548d3b482f9ac7ddd0f18c67e4225aaa4e8552b9f1ac7e6bda9e5",
-                "sha256:bc9a0f6569ff990e0bbd75506c8d8fe7214c8f6579cca32f0546e54372a3bb54",
-                "sha256:bd44d5936ab3193c617bfd6c9a7d8d1085a8dc8c3f44d5f1dcf554d17d04cf7d",
-                "sha256:ced339d7c9b5030abad5854aa5413a77565e5b6e6248ff927d3e174baf3badf7",
-                "sha256:d3ce17ce0220383a0f9ea07175eeaa6aa13ae5a41f30bc61d84df17f0e9b1117",
-                "sha256:d5f1b4ce5bc528a6ee38dbf5f39bbf11dd127048726323b72b8e85769319ffc4",
-                "sha256:d849b0901b50f2185874b9a232f38e26b9b3d4810095a7572eacea939132d4e1",
-                "sha256:db71ce547012a5420a39c1b744d485cfb823564d01d5d20805977f5ea1345676",
-                "sha256:e153e8adacfe2af562861b72f8bc47f8a5c08e010ac94eebbe33dc21d677cd5b",
-                "sha256:edd533a07da85baa4b423ee8839e3e91681c7bfa19b04260a469ee94b778bf6d",
-                "sha256:f0adb4177fa748072546fb650d9bd7398caaf0e15b370ed3317280b13f4083b0",
-                "sha256:f0fa751efb11a541f57db59c1dd821bec09031e01452b2b6217319b3a1f34f3d",
-                "sha256:f2800614cd560287be05e33a679638e586a2d7401f4ddf99e304d98878c29444",
-                "sha256:f813c3e9032331024de2eb2e32a88d86afb69291fbc37a3a3ae81cc9917fb3d0",
-                "sha256:fc49c4de44977aa8601a00edbf157e9a421f227aa7eb477d9e3df48343311065",
-                "sha256:fd736ed420f4db2b8148b52b46b88ed038d0354255f9a73196b7bbce3ea97545",
-                "sha256:fe086edf38b2222328cdf89af0dde2439ee173b8ad7cb659b4e4c6f385b2be3d"
+                "sha256:00243e51f16f6ec0fb021659d4af92f675f3cf9f9b39efd142aa3ad641d8d1e6",
+                "sha256:00fdfe370cffede3163ba9d3f190b32c0cfc8c774f6f67395683d7b0e48cdb8a",
+                "sha256:019dbef24fe28ce2301419dd63a2b97250d9760ca63ee2976c2da2e3f182f82e",
+                "sha256:052bcdd80c1c54b8a18a9ea0cd5e36f473dc8e38d51b804cea34841f677a9971",
+                "sha256:059978d2fddc462e9211362cbc8446747ecd930537fa559d3d25c256f032ff54",
+                "sha256:0a2be20eb23888df130214b91c262a90e2de1553d6fb7de9e9010cec994c0ff2",
+                "sha256:0f1338b61ea66f4757a0544ed8a02ccbf60e38d9cfb3225888888dd4475ebb96",
+                "sha256:0f19f7798996d4458c669bd770504f710014926e9970f4729cf55853ae200469",
+                "sha256:0f735e680c323ee7e9ef8e2ea26425c7dbc2ede0086fa83ce9d7ccab8a089f26",
+                "sha256:10b3f01d5aeb632adaaf39c5e93f040a550464a768d54c514050c635adcbb9d0",
+                "sha256:12f5d820fadc5848d4559ea838aef733cf37ed2a1103bba148ac2f5547c14c29",
+                "sha256:19ba8625fa69523627b67f7e9901b587a4952470f68814d79cdc5bc460e9b885",
+                "sha256:19bb08e56f57c215e9572cd65cb6f8097804412c54081d933997ddde3e5ac579",
+                "sha256:1c272a9a18a5ecc48a7101882230046b83023bb2a662050ecb9bfcb28d9ab53a",
+                "sha256:1ccedfe280e804d9a9d7fe8b8c4309d28e364b77f40309c86596baa754af50b1",
+                "sha256:1f164699a060c0b3616459d13c1464a981fddf36f892f0a5027cbd45121fb14b",
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+                "sha256:222c828243b4789d79a706a876910f656fad4381661691220ba57b2ab4547865",
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@@ -134,28 +168,28 @@
         },
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@@ -167,11 +201,11 @@
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@@ -350,54 +384,79 @@
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+            "version": "==46.0.2"
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+            "markers": "python_version >= '3.9'",
+            "version": "==3.24.0"
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         "diskcache": {
             "hashes": [
@@ -415,6 +474,46 @@
             "markers": "python_version >= '3.6'",
             "version": "==1.9.0"
         },
+        "dnspython": {
+            "hashes": [
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+            "version": "==2.8.0"
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+            "version": "==0.22.2"
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@@ -426,52 +525,94 @@
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@@ -614,17 +781,17 @@
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@@ -644,19 +811,19 @@
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@@ -674,6 +841,14 @@
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@@ -811,78 +1045,106 @@
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@@ -892,129 +1154,173 @@
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@@ -1112,117 +1450,156 @@
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@@ -1453,6 +1847,13 @@
             "markers": "python_version >= '3.8'",
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@@ -2154,11 +2625,11 @@
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@@ -2331,11 +2802,11 @@
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-            "version": "==1.54.0"
+            "version": "==1.55.0"
         },
         "pluggy": {
             "hashes": [
@@ -2402,30 +2873,30 @@
         },
         "pylint": {
             "hashes": [
-                "sha256:26698de19941363037e2937d3db9ed94fb3303fdadf7d98847875345a8bb6b05",
-                "sha256:7ef94aa692a600e82fabdd17102b73fc226758218c97473c7ad67bd4cb905d83"
+                "sha256:01f9b0462c7730f94786c283f3e52a1fbdf0494bbe0971a78d7277ef46a751e7",
+                "sha256:d312737d7b25ccf6b01cc4ac629b5dcd14a0fcf3ec392735ac70f137a9d5f83a"
             ],
             "index": "pypi",
             "markers": "python_full_version >= '3.9.0'",
-            "version": "==3.3.8"
+            "version": "==3.3.9"
         },
         "pytest": {
             "hashes": [
-                "sha256:539c70ba6fcead8e78eebbf1115e8b589e7565830d7d006a8723f19ac8a0afb7",
-                "sha256:7c67fd69174877359ed9371ec3af8a3d2b04741818c51e5e99cc1742251fa93c"
+                "sha256:86c0d0b93306b961d58d62a4db4879f27fe25513d4b969df351abdddb3c30e01",
+                "sha256:872f880de3fc3a5bdc88a11b39c9710c3497a547cfa9320bc3c5e62fbf272e79"
             ],
             "index": "pypi",
             "markers": "python_version >= '3.9'",
-            "version": "==8.4.1"
+            "version": "==8.4.2"
         },
         "pytest-asyncio": {
             "hashes": [
-                "sha256:5fe2d69607b0bd75c656d1211f969cadba035030156745ee09e7d71740e58ecf",
-                "sha256:796aa822981e01b68c12e4827b8697108f7205020f24b5793b3c41555dab68ea"
+                "sha256:8e17ae5e46d8e7efe51ab6494dd2010f4ca8dae51652aa3c8d55acf50bfb2e99",
+                "sha256:c609a64a2a8768462d0c99811ddb8bd2583c33fd33cf7f21af1c142e824ffb57"
             ],
             "index": "pypi",
             "markers": "python_version >= '3.9'",
-            "version": "==1.1.0"
+            "version": "==1.2.0"
         },
         "pytest-base-url": {
             "hashes": [
@@ -2437,12 +2908,12 @@
         },
         "pytest-playwright": {
             "hashes": [
-                "sha256:2516d0871fa606634bfe32afbcc0342d68da2dbff97fe3459849e9c428486da2",
-                "sha256:b3f2ea514bbead96d26376fac182f68dcd6571e7cb41680a89ff1673c05d60b6"
+                "sha256:94b551b2677ecdc16284fcd6a4f0045eafda47a60e74410f3fe4d8260e12cabf",
+                "sha256:fcc46510fb75f8eba6df3bc8e84e4e902483d92be98075f20b9d160651a36d90"
             ],
             "index": "pypi",
             "markers": "python_version >= '3.9'",
-            "version": "==0.7.0"
+            "version": "==0.7.1"
         },
         "python-slugify": {
             "hashes": [
diff --git a/api/app_factory.py b/api/app_factory.py
index 10e0c483..b774f7db 100644
--- a/api/app_factory.py
+++ b/api/app_factory.py
@@ -7,9 +7,10 @@
 from fastapi import FastAPI, Request, HTTPException
 from fastapi.responses import RedirectResponse, JSONResponse
 from fastapi.staticfiles import StaticFiles
-from fastapi_mcp import FastApiMCP
 from starlette.middleware.sessions import SessionMiddleware
 from starlette.middleware.base import BaseHTTPMiddleware
+from fastmcp import FastMCP
+from fastmcp.server.openapi import MCPType, RouteMap
 
 from uvicorn.middleware.proxy_headers import ProxyHeadersMiddleware
 
@@ -22,24 +23,24 @@
 
 # Load environment variables from .env file
 load_dotenv()
-logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
+)
 
-class SecurityMiddleware(BaseHTTPMiddleware): # pylint: disable=too-few-public-methods
+
+class SecurityMiddleware(BaseHTTPMiddleware):  # pylint: disable=too-few-public-methods
     """Middleware for security checks including static file access"""
 
-    STATIC_PREFIX = '/static/'
+    STATIC_PREFIX = "/static/"
 
     async def dispatch(self, request: Request, call_next):
         # Block directory access in static files
         if request.url.path.startswith(self.STATIC_PREFIX):
             # Remove /static/ prefix to get the actual path
-            filename = request.url.path[len(self.STATIC_PREFIX):]
+            filename = request.url.path[len(self.STATIC_PREFIX) :]
             # Basic security check for directory traversal
-            if not filename or '../' in filename or filename.endswith('/'):
-                return JSONResponse(
-                    status_code=403,
-                    content={"detail": "Forbidden"}
-                )
+            if not filename or "../" in filename or filename.endswith("/"):
+                return JSONResponse(status_code=403, content={"detail": "Forbidden"})
 
         response = await call_next(request)
         return response
@@ -47,28 +48,86 @@ async def dispatch(self, request: Request, call_next):
 
 def create_app():
     """Create and configure the FastAPI application."""
+
+    # Create the FastAPI app instance just to set the o routes
+    # Will be merged with MCP app later if MCP is enabled
+    app = FastAPI(
+        title="QueryWeaver"
+    )
+
+    # Include routers
+    app.include_router(auth_router)
+    app.include_router(graphs_router, prefix="/graphs")
+    app.include_router(database_router)
+    app.include_router(tokens_router, prefix="/tokens")
+
+
+
+    # Control MCP endpoints via environment variable DISABLE_MCP
+    # Default: MCP is enabled unless DISABLE_MCP is set to true
+    disable_mcp = os.getenv("DISABLE_MCP", "false").lower() in ("1", "true", "yes")
+    mcp_app = None
+    if disable_mcp:
+        logging.info("MCP endpoints disabled via DISABLE_MCP environment variable")
+        routes=[
+            *app.routes,  # Original API routes only
+        ]
+    else:
+        mcp = FastMCP.from_fastapi(
+            app=app,
+            name="queryweaver",
+            route_maps=[
+                RouteMap(tags={"mcp_resource"}, mcp_type=MCPType.RESOURCE),
+                RouteMap(
+                    tags={"mcp_resource_template"},
+                    mcp_type=MCPType.RESOURCE_TEMPLATE,
+                ),
+                RouteMap(tags={"mcp_tool"}, mcp_type=MCPType.TOOL),
+                RouteMap(mcp_type=MCPType.EXCLUDE),
+            ],
+        )
+        mcp_app = mcp.http_app(path="/mcp")
+
+        # Combine routes from both apps
+        routes = [
+            *mcp_app.routes,  # MCP routes
+            *app.routes,  # Original API routes
+        ]
+
+    # Combine the MCP app and original app
     app = FastAPI(
         title="QueryWeaver",
         description="Text2SQL with Graph-Powered Schema Understanding",
         openapi_tags=[
-            {"name": "Authentication",
-             "description": "User authentication and OAuth operations"},
-            {"name": "Graphs & Databases",
-             "description": "Database schema management and querying"},
-            {"name": "Database Connection",
-             "description": "Connect to external databases"},
-            {"name": "API Tokens",
-             "description": "Manage API tokens for authentication"}
-        ]
+            {
+                "name": "Authentication",
+                "description": "User authentication and OAuth operations",
+            },
+            {
+                "name": "Graphs & Databases",
+                "description": "Database schema management and querying",
+            },
+            {
+                "name": "Database Connection",
+                "description": "Connect to external databases",
+            },
+            {
+                "name": "API Tokens",
+                "description": "Manage API tokens for authentication",
+            },
+        ],
+        routes=routes,
+        lifespan=mcp_app.lifespan if mcp_app else None,
     )
 
-        # Add security schemes to OpenAPI after app creation
+    # Add security schemes to OpenAPI after app creation
     def custom_openapi():
         if app.openapi_schema:
             return app.openapi_schema
 
         # pylint: disable=import-outside-toplevel
         from fastapi.openapi.utils import get_openapi
+
         openapi_schema = get_openapi(
             title=app.title,
             version=app.version,
@@ -83,15 +142,15 @@ def custom_openapi():
                 "in": "cookie",
                 "name": "api_token",
                 "description": "API token for programmatic access. "
-                               "Generate via POST /tokens/generate after OAuth login."
+                "Generate via POST /tokens/generate after OAuth login.",
             },
             "SessionAuth": {
                 "type": "apiKey",
-                "in": "cookie", 
+                "in": "cookie",
                 "name": "session",
                 "description": "Session cookie for web browsers. "
-                               "Login via Google/GitHub at /login/google or /login/github."
-            }
+                "Login via Google/GitHub at /login/google or /login/github.",
+            },
         }
 
         # Add security requirements to protected endpoints
@@ -104,7 +163,7 @@ def custom_openapi():
                         # SessionAuth (not both)
                         operation["security"] = [
                             {"ApiTokenAuth": []},  # Option 1: API Token
-                            {"SessionAuth": []}    # Option 2: OAuth Session
+                            {"SessionAuth": []},  # Option 2: OAuth Session
                         ]
 
         app.openapi_schema = openapi_schema
@@ -133,34 +192,12 @@ def custom_openapi():
     # Initialize authentication (OAuth and sessions)
     init_auth(app)
 
-    # Include routers
-    app.include_router(auth_router)
-    app.include_router(graphs_router, prefix="/graphs")
-    app.include_router(database_router)
-    app.include_router(tokens_router, prefix="/tokens")
-
-    # app.include_router(mcp_router, prefix="/mcp")
     setup_oauth_handlers(app, app.state.oauth)
 
-    # Control MCP endpoints via environment variable DISABLE_MCP
-    # Default: MCP is enabled unless DISABLE_MCP is set to true
-    disable_mcp = os.getenv("DISABLE_MCP", "false").lower() in ("1", "true", "yes")
-    if disable_mcp:
-        logging.info("MCP endpoints disabled via DISABLE_MCP environment variable")
-    else:
-        mcp = FastApiMCP(app,
-                         name="queryweaver",
-                         description="QueryWeaver MCP API, provides Text2SQL capabilities",
-                         include_operations=["list_databases",
-                                             "connect_database",
-                                             "database_schema",
-                                             "query_database"]
-                         )
-
-        mcp.mount_http()
-
     @app.exception_handler(Exception)
-    async def handle_oauth_error(request: Request, exc: Exception): # pylint: disable=unused-argument
+    async def handle_oauth_error(
+        request: Request, exc: Exception
+    ):  # pylint: disable=unused-argument
         """Handle OAuth-related errors gracefully"""
         # Check if it's an OAuth-related error
         # TODO check this scenario, pylint: disable=fixme
diff --git a/api/core/__init__.py b/api/core/__init__.py
new file mode 100644
index 00000000..25e418c5
--- /dev/null
+++ b/api/core/__init__.py
@@ -0,0 +1,20 @@
+
+"""
+Core module for QueryWeaver.
+
+This module provides the core functionality for QueryWeaver including
+error handling, database schema loading, and text-to-SQL processing.
+"""
+
+from .errors import InternalError, GraphNotFoundError, InvalidArgumentError
+from .schema_loader import load_database, list_databases
+from .text2sql import MESSAGE_DELIMITER
+
+__all__ = [
+    "InternalError",
+    "GraphNotFoundError",
+    "InvalidArgumentError",
+    "load_database",
+    "list_databases",
+    "MESSAGE_DELIMITER",
+]
diff --git a/api/core/errors.py b/api/core/errors.py
new file mode 100644
index 00000000..a8701754
--- /dev/null
+++ b/api/core/errors.py
@@ -0,0 +1,13 @@
+"""Custom exceptions for the text2sql API."""
+
+# Interal Error Exception
+class InternalError(Exception):
+    """Custom exception for internal errors."""
+
+# Graph not found Exception
+class GraphNotFoundError(Exception):
+    """Custom exception for graph not found errors."""
+
+# Wrong argument Exception
+class InvalidArgumentError(Exception):
+    """Custom exception for invalid argument errors."""
diff --git a/api/core/schema_loader.py b/api/core/schema_loader.py
new file mode 100644
index 00000000..3e54a576
--- /dev/null
+++ b/api/core/schema_loader.py
@@ -0,0 +1,163 @@
+"""Database connection routes for the text2sql API."""
+
+import logging
+import json
+import time
+from typing import AsyncGenerator, Optional
+
+from pydantic import BaseModel
+
+from api.extensions import db
+
+from api.core.errors import InvalidArgumentError
+from api.loaders.base_loader import BaseLoader
+from api.loaders.postgres_loader import PostgresLoader
+from api.loaders.mysql_loader import MySQLLoader
+
+# Use the same delimiter as in the JavaScript frontend for streaming chunks
+MESSAGE_DELIMITER = "|||FALKORDB_MESSAGE_BOUNDARY|||"
+
+
+class DatabaseConnectionRequest(BaseModel):
+    """Database connection request model.
+
+    Args:
+        BaseModel (_type_): _description_
+    """
+
+    url: str
+
+def _step_start(steps_counter: int) -> dict[str, str]:
+    """Yield the starting step message."""
+    return {
+        "type": "reasoning_step",
+        "message": f"Step {steps_counter}: Starting database connection",
+    }
+
+def _step_detect_db_type(steps_counter: int, url: str) -> tuple[type[BaseLoader], dict[str, str]]:
+    """Yield the database type detection step message."""
+    db_type = None
+    loader: type[BaseLoader] = BaseLoader  # type: ignore
+    if url.startswith("postgres://") or url.startswith("postgresql://"):
+        db_type = "postgresql"
+        loader = PostgresLoader
+    elif url.startswith("mysql://"):
+        db_type = "mysql"
+        loader = MySQLLoader
+    else:
+        raise InvalidArgumentError("Invalid database URL format")
+
+    return loader, {
+        "type": "reasoning_step",
+        "message": f"Step {steps_counter}: Detected database type: {db_type}. "
+        "Attempting to load schema...",
+    }
+
+
+async def _step_attempt_load(
+    steps_counter: int, loader: type[BaseLoader], user_id: str, url: str
+) -> AsyncGenerator[dict[str, str | bool], None]:
+    """Yield the attempt to load schema step message."""
+    success, result = [False, ""]
+    try:
+        load_start = time.perf_counter()
+        async for progress in loader.load(user_id, url):
+            success, result = progress
+            if success:
+                steps_counter += 1
+                yield {
+                    "type": "reasoning_step",
+                    "message": f"Step {steps_counter}: {result}",
+                }
+            else:
+                break
+
+        load_elapsed = time.perf_counter() - load_start
+        logging.info("Database load attempt finished in %.2f seconds", load_elapsed)
+
+        if success:
+            yield {
+                "type": "final_result",
+                "success": True,
+                "message": "Database connected and schema loaded successfully",
+            }
+        else:
+            # Don't stream the full internal result; give higher-level error
+            logging.error("Database loader failed: %s", str(result))  # nosemgrep
+            yield {"type": "error", "message": "Failed to load database schema"}
+    except Exception as e:  # pylint: disable=broad-exception-caught
+        logging.exception("Error while loading database schema: %s", str(e))
+        yield {"type": "error", "message": "Error connecting to database"}
+
+
+def _step_result(result) -> str:
+    """Yield the final result message."""
+    return json.dumps(result) + MESSAGE_DELIMITER
+
+
+async def load_database(url: str, user_id: str):
+    """
+    Accepts a JSON payload with a database URL and attempts to connect.
+    Supports both PostgreSQL and MySQL databases.
+    Streams progress steps as a sequence of JSON messages separated by MESSAGE_DELIMITER.
+    """
+
+    # Validate URL format
+    if len(url.strip()) == 0:
+        raise InvalidArgumentError("Invalid URL format")
+
+    async def generate():
+        overall_start = time.perf_counter()
+        steps_counter = 0
+        try:
+            # Step 1: Start
+            steps_counter += 1
+            result = _step_start(steps_counter)
+            yield _step_result(result)
+
+            # Step 2: Determine type
+            steps_counter += 1
+            loader, result = _step_detect_db_type(steps_counter, url)
+            yield _step_result(result)
+
+            # Step 3: Attempt to load schema using the loader
+            async for progress in _step_attempt_load(
+                steps_counter, loader, user_id, url
+            ):
+                yield _step_result(progress)
+
+        except InvalidArgumentError as ia:
+            yield _step_result({"type": "error", "message": str(ia)})
+        except Exception as e:  # pylint: disable=broad-exception-caught
+            logging.exception("Unexpected error in connect_database stream: %s", str(e))
+            yield _step_result({"type": "error", "message": "Internal server error"})
+        finally:
+            overall_elapsed = time.perf_counter() - overall_start
+            logging.info(
+                "connect_database processing completed - Total time: %.2f seconds",
+                overall_elapsed,
+            )
+
+    return generate()
+
+
+async def list_databases(user_id: str, general_prefix: Optional[str] = None) -> list[str]:
+    """
+    This route is used to list all the graphs (databases names) that are available in the database.
+    """
+    user_graphs = await db.list_graphs()
+
+    # Only include graphs that start with user_id + '_', and strip the prefix
+    filtered_graphs = [
+        graph[len(f"{user_id}_") :]
+        for graph in user_graphs
+        if graph.startswith(f"{user_id}_")
+    ]
+
+    if general_prefix:
+        demo_graphs = [
+            graph for graph in user_graphs if graph.startswith(general_prefix)
+        ]
+        filtered_graphs = filtered_graphs + demo_graphs
+
+    return filtered_graphs
diff --git a/api/core/text2sql.py b/api/core/text2sql.py
new file mode 100644
index 00000000..4adb450e
--- /dev/null
+++ b/api/core/text2sql.py
@@ -0,0 +1,800 @@
+"""Graph-related routes for the text2sql API."""
+
+import asyncio
+import json
+import logging
+import os
+import time
+
+from pydantic import BaseModel
+from redis import ResponseError
+
+from api.core.errors import GraphNotFoundError, InternalError, InvalidArgumentError
+from api.core.schema_loader import load_database
+from api.agents import AnalysisAgent, RelevancyAgent, ResponseFormatterAgent, FollowUpAgent
+from api.config import Config
+from api.extensions import db
+from api.graph import find, get_db_description
+from api.loaders.postgres_loader import PostgresLoader
+from api.loaders.mysql_loader import MySQLLoader
+from api.memory.graphiti_tool import MemoryTool
+
+# Use the same delimiter as in the JavaScript
+MESSAGE_DELIMITER = "|||FALKORDB_MESSAGE_BOUNDARY|||"
+
+GENERAL_PREFIX = os.getenv("GENERAL_PREFIX")
+
+class GraphData(BaseModel):
+    """Graph data model.
+
+    Args:
+        BaseModel (_type_): _description_
+    """
+    database: str
+
+
+class ChatRequest(BaseModel):
+    """Chat request model.
+
+    Args:
+        BaseModel (_type_): _description_
+    """
+    chat: list[str]
+    result: list[str] | None = None
+    instructions: str | None = None
+
+
+class ConfirmRequest(BaseModel):
+    """Confirmation request model.
+
+    Args:
+        BaseModel (_type_): _description_
+    """
+    sql_query: str
+    confirmation: str = ""
+    chat: list = []
+
+
+def get_database_type_and_loader(db_url: str):
+    """
+    Determine the database type from URL and return appropriate loader class.
+
+    Args:
+        db_url: Database connection URL
+
+    Returns:
+        tuple: (database_type, loader_class)
+    """
+    if not db_url or db_url == "No URL available for this database.":
+        return None, None
+
+    db_url_lower = db_url.lower()
+
+    if db_url_lower.startswith('postgresql://') or db_url_lower.startswith('postgres://'):
+        return 'postgresql', PostgresLoader
+    if db_url_lower.startswith('mysql://'):
+        return 'mysql', MySQLLoader
+
+    # Default to PostgresLoader for backward compatibility
+    return 'postgresql', PostgresLoader
+
+def sanitize_query(query: str) -> str:
+    """Sanitize the query to prevent injection attacks."""
+    return query.replace('\n', ' ').replace('\r', ' ')[:500]
+
+def sanitize_log_input(value: str) -> str:
+    """
+    Sanitize input for safe logging—remove newlines, 
+    carriage returns, tabs, and wrap in repr().
+    """
+    if not isinstance(value, str):
+        value = str(value)
+
+    return value.replace('\n', ' ').replace('\r', ' ').replace('\t', ' ')
+
+def _graph_name(user_id: str, graph_id:str) -> str:
+
+    graph_id = graph_id.strip()[:200]
+    if not graph_id:
+        raise GraphNotFoundError("Invalid graph_id, must be less than 200 characters.")
+
+    if GENERAL_PREFIX and graph_id.startswith(GENERAL_PREFIX):
+        return graph_id
+
+    return f"{user_id}_{graph_id}"
+
+async def get_schema(user_id: str, graph_id: str):  # pylint: disable=too-many-locals,too-many-branches,too-many-statements
+    """Return all nodes and edges for the specified database schema (namespaced to the user).
+
+    This endpoint returns a JSON object with two keys: `nodes` and `edges`.
+    Nodes contain a minimal set of properties (id, name, labels, props).
+    Edges contain source and target node names (or internal ids), type and props.
+    
+        args:
+            graph_id (str): The ID of the graph to query (the database name).
+    """
+    namespaced = _graph_name(user_id, graph_id)
+    try:
+        graph = db.select_graph(namespaced)
+    except Exception as e:  # pylint: disable=broad-exception-caught
+        logging.error("Failed to select graph %s: %s", sanitize_log_input(namespaced), e)
+        raise GraphNotFoundError("Graph not found or database error") from e
+
+    # Build table nodes with columns and table-to-table links (foreign keys)
+    tables_query = """
+    MATCH (t:Table)
+    OPTIONAL MATCH (c:Column)-[:BELONGS_TO]->(t)
+    RETURN t.name AS table, collect(DISTINCT {name: c.name, type: c.type}) AS columns
+    """
+
+    links_query = """
+    MATCH (src_col:Column)-[:BELONGS_TO]->(src_table:Table),
+          (tgt_col:Column)-[:BELONGS_TO]->(tgt_table:Table),
+          (src_col)-[:REFERENCES]->(tgt_col)
+    RETURN DISTINCT src_table.name AS source, tgt_table.name AS target
+    """
+
+    try:
+        tables_res = (await graph.query(tables_query)).result_set
+        links_res = (await graph.query(links_query)).result_set
+    except Exception as e:  # pylint: disable=broad-exception-caught
+        logging.error("Error querying graph data for %s: %s", sanitize_log_input(namespaced), e)
+        raise InternalError("Failed to read graph data") from e
+
+    nodes = []
+    for row in tables_res:
+        try:
+            table_name, columns = row
+        except Exception:  # pylint: disable=broad-exception-caught
+            continue
+        # Normalize columns: ensure a list of dicts with name/type
+        if not isinstance(columns, list):
+            columns = [] if columns is None else [columns]
+
+        normalized = []
+        for col in columns:
+            try:
+                # col may be a mapping-like object or a simple value
+                if not col:
+                    continue
+                # Some drivers may return a tuple or list for the collected map
+                if isinstance(col, (list, tuple)) and len(col) >= 2:
+                    # try to interpret as (name, type)
+                    name = col[0]
+                    ctype = col[1] if len(col) > 1 else None
+                elif isinstance(col, dict):
+                    name = col.get('name') or col.get('columnName')
+                    ctype = col.get('type') or col.get('dataType')
+                else:
+                    name = str(col)
+                    ctype = None
+
+                if not name:
+                    continue
+
+                normalized.append({"name": name, "type": ctype})
+            except Exception:  # pylint: disable=broad-exception-caught
+                continue
+
+        nodes.append({
+            "id": table_name,
+            "name": table_name,
+            "columns": normalized,
+        })
+
+    links = []
+    seen = set()
+    for row in links_res:
+        try:
+            source, target = row
+        except Exception:  # pylint: disable=broad-exception-caught
+            continue
+        key = (source, target)
+        if key in seen:
+            continue
+        seen.add(key)
+        links.append({"source": source, "target": target})
+
+    return {"nodes": nodes, "links": links}
+
+async def query_database(user_id: str, graph_id: str, chat_data: ChatRequest):  # pylint: disable=too-many-statements
+    """
+    Query the Database with the given graph_id and chat_data.
+    
+        Args:
+            graph_id (str): The ID of the graph to query.
+            chat_data (ChatRequest): The chat data containing user queries and context.
+    """
+    graph_id = _graph_name(user_id, graph_id)
+
+    queries_history = chat_data.chat if hasattr(chat_data, 'chat') else None
+    result_history = chat_data.result if hasattr(chat_data, 'result') else None
+    instructions = chat_data.instructions if hasattr(chat_data, 'instructions') else None
+
+    if not queries_history or not isinstance(queries_history, list):
+        raise InvalidArgumentError("Invalid or missing chat history")
+
+    if len(queries_history) == 0:
+        raise InvalidArgumentError("Empty chat history")
+
+    # Truncate history to keep only the last N questions maximum (configured in Config)
+    if len(queries_history) > Config.SHORT_MEMORY_LENGTH:
+        queries_history = queries_history[-Config.SHORT_MEMORY_LENGTH:]
+        # Keep corresponding results (one less than queries since current query has no result yet)
+        if result_history and len(result_history) > 0:
+            max_results = Config.SHORT_MEMORY_LENGTH - 1
+            if max_results > 0:
+                result_history = result_history[-max_results:]
+            else:
+                result_history = []
+
+    logging.info("User Query: %s", sanitize_query(queries_history[-1]))
+
+    memory_tool_task = asyncio.create_task(MemoryTool.create(user_id, graph_id))
+
+    # Create a generator function for streaming
+    async def generate():  # pylint: disable=too-many-locals,too-many-branches,too-many-statements
+        # Start overall timing
+        overall_start = time.perf_counter()
+        logging.info("Starting query processing pipeline for query: %s",
+                     sanitize_query(queries_history[-1]))  # nosemgrep
+
+        agent_rel = RelevancyAgent(queries_history, result_history)
+        agent_an = AnalysisAgent(queries_history, result_history)
+        follow_up_agent = FollowUpAgent(queries_history, result_history)
+
+        step = {"type": "reasoning_step",
+                "final_response": False,
+                "message": "Step 1: Analyzing user query and generating SQL..."}
+        yield json.dumps(step) + MESSAGE_DELIMITER
+        # Ensure the database description is loaded
+        db_description, db_url = await get_db_description(graph_id)
+
+        # Determine database type and get appropriate loader
+        _, loader_class = get_database_type_and_loader(db_url)
+
+        if not loader_class:
+            overall_elapsed = time.perf_counter() - overall_start
+            logging.info("Query processing failed (no loader) - Total time: %.2f seconds",
+                         overall_elapsed)
+            yield json.dumps({
+                "type": "error",
+                "final_response": True,
+                "message": "Unable to determine database type"
+            }) + MESSAGE_DELIMITER
+            return
+
+        # Start both tasks concurrently
+        find_task = asyncio.create_task(find(graph_id, queries_history, db_description))
+
+        relevancy_task = asyncio.create_task(agent_rel.get_answer(
+            queries_history[-1], db_description
+        ))
+
+        logging.info("Starting relevancy check and graph analysis concurrently")
+
+        # Wait for relevancy check first
+        answer_rel = await relevancy_task
+
+        if answer_rel["status"] != "On-topic": # pylint: disable=too-many-nested-blocks
+            # Cancel the find task since query is off-topic
+            find_task.cancel()
+            try:
+                await find_task
+            except asyncio.CancelledError:
+                logging.info("Find task cancelled due to off-topic query")
+
+            step = {
+                "type": "followup_questions",
+                "final_response": True,
+                "message": "Off topic question: " + answer_rel["reason"],
+            }
+            logging.info("SQL Fail reason: %s", answer_rel["reason"])  # nosemgrep
+            yield json.dumps(step) + MESSAGE_DELIMITER
+            # Total time for off-topic query
+            overall_elapsed = time.perf_counter() - overall_start
+            logging.info("Query processing completed (off-topic) - Total time: %.2f seconds",
+                         overall_elapsed)
+        else:
+            # Query is on-topic, wait for find results
+            result = await find_task
+
+            logging.info("Calling to analysis agent with query: %s",
+                         sanitize_query(queries_history[-1]))  # nosemgrep
+            memory_tool = await memory_tool_task
+            memory_context = await memory_tool.search_memories(
+                query=queries_history[-1]
+            )
+
+            logging.info("Starting SQL generation with analysis agent")
+            answer_an = agent_an.get_analysis(
+                queries_history[-1], result, db_description, instructions, memory_context
+            )
+
+            # Initialize response variables
+            user_readable_response = ""
+            follow_up_result = ""
+            execution_error = False
+
+            logging.info("Generated SQL query: %s", answer_an['sql_query'])  # nosemgrep
+            yield json.dumps(
+                {
+                    "type": "sql_query",
+                    "data": answer_an["sql_query"],
+                    "conf": answer_an["confidence"],
+                    "miss": answer_an["missing_information"],
+                    "amb": answer_an["ambiguities"],
+                    "exp": answer_an["explanation"],
+                    "is_valid": answer_an["is_sql_translatable"],
+                    "final_response": False,
+                }
+            ) + MESSAGE_DELIMITER
+
+            # If the SQL query is valid, execute it using the postgres database db_url
+            if answer_an["is_sql_translatable"]:
+                # Check if this is a destructive operation that requires confirmation
+                sql_query = answer_an["sql_query"]
+                sql_type = sql_query.strip().split()[0].upper() if sql_query else ""
+
+                destructive_ops = ['INSERT', 'UPDATE', 'DELETE', 'DROP',
+                                  'CREATE', 'ALTER', 'TRUNCATE']
+                is_destructive = sql_type in destructive_ops
+                general_graph = graph_id.startswith(GENERAL_PREFIX) if GENERAL_PREFIX else False
+                if is_destructive and not general_graph:
+                    # This is a destructive operation - ask for user confirmation
+                    confirmation_message = f"""⚠️ DESTRUCTIVE OPERATION DETECTED ⚠️
+
+The generated SQL query will perform a **{sql_type}** operation:
+
+SQL:
+{sql_query}
+
+What this will do:
+"""
+                    if sql_type == 'INSERT':
+                        confirmation_message += "• Add new data to the database"
+                    elif sql_type == 'UPDATE':
+                        confirmation_message += ("• Modify existing data in the "
+                                                "database")
+                    elif sql_type == 'DELETE':
+                        confirmation_message += ("• **PERMANENTLY DELETE** data "
+                                                "from the database")
+                    elif sql_type == 'DROP':
+                        confirmation_message += ("• **PERMANENTLY DELETE** entire "
+                                                "tables or database objects")
+                    elif sql_type == 'CREATE':
+                        confirmation_message += ("• Create new tables or database "
+                                                "objects")
+                    elif sql_type == 'ALTER':
+                        confirmation_message += ("• Modify the structure of existing "
+                                                "tables")
+                    elif sql_type == 'TRUNCATE':
+                        confirmation_message += ("• **PERMANENTLY DELETE ALL DATA** "
+                                                "from specified tables")
+                    confirmation_message += """
+
+⚠️ WARNING: This operation will make changes to your database and may be irreversible.
+"""
+
+                    yield json.dumps(
+                        {
+                            "type": "destructive_confirmation",
+                            "message": confirmation_message,
+                            "sql_query": sql_query,
+                            "operation_type": sql_type,
+                            "final_response": False,
+                        }
+                    ) + MESSAGE_DELIMITER
+                    # Log end-to-end time for destructive operation that requires confirmation
+                    overall_elapsed = time.perf_counter() - overall_start
+                    logging.info(
+                        "Query processing halted for confirmation - Total time: %.2f seconds",
+                        overall_elapsed
+                    )
+                    return  # Stop here and wait for user confirmation
+
+                try:
+                    if is_destructive and general_graph:
+                        yield json.dumps(
+                            {
+                                "type": "error", 
+                                "final_response": True, 
+                                "message": "Destructive operation not allowed on demo graphs"
+                            }) + MESSAGE_DELIMITER
+                    else:
+                        step = {"type": "reasoning_step",
+                                "final_response": False,
+                                "message": "Step 2: Executing SQL query"}
+                        yield json.dumps(step) + MESSAGE_DELIMITER
+
+                        # Check if this query modifies the database schema
+                        # using the appropriate loader
+                        is_schema_modifying, operation_type = (
+                            loader_class.is_schema_modifying_query(sql_query)
+                        )
+
+                        query_results = loader_class.execute_sql_query(
+                            answer_an["sql_query"],
+                            db_url
+                        )
+                        if len(query_results) != 0:
+                            yield json.dumps(
+                                {
+                                    "type": "query_result",
+                                    "data": query_results,
+                                    "final_response": False
+                                }
+                            ) + MESSAGE_DELIMITER
+
+                        # If schema was modified, refresh the graph using the appropriate loader
+                        if is_schema_modifying:
+                            step = {"type": "reasoning_step",
+                                    "final_response": False,
+                                    "message": ("Step 3: Schema change detected - "
+                                                "refreshing graph...")}
+                            yield json.dumps(step) + MESSAGE_DELIMITER
+
+                            refresh_result = await loader_class.refresh_graph_schema(
+                                graph_id, db_url)
+                            refresh_success, refresh_message = refresh_result
+
+                            if refresh_success:
+                                refresh_msg = (f"✅ Schema change detected "
+                                            f"({operation_type} operation)\n\n"
+                                            f"🔄 Graph schema has been automatically "
+                                            f"refreshed with the latest database "
+                                            f"structure.")
+                                yield json.dumps(
+                                    {
+                                        "type": "schema_refresh",
+                                        "final_response": False,
+                                        "message": refresh_msg,
+                                        "refresh_status": "success"
+                                    }
+                                ) + MESSAGE_DELIMITER
+                            else:
+                                failure_msg = (f"⚠️ Schema was modified but graph "
+                                            f"refresh failed: {refresh_message}")
+                                yield json.dumps(
+                                    {
+                                        "type": "schema_refresh",
+                                        "final_response": False,
+                                        "message": failure_msg,
+                                        "refresh_status": "failed"
+                                    }
+                                ) + MESSAGE_DELIMITER
+
+                        # Generate user-readable response using AI
+                        step_num = "4" if is_schema_modifying else "3"
+                        step = {"type": "reasoning_step",
+                                "final_response": False,
+                            "message": f"Step {step_num}: Generating user-friendly response"}
+                        yield json.dumps(step) + MESSAGE_DELIMITER
+
+                        response_agent = ResponseFormatterAgent()
+                        user_readable_response = response_agent.format_response(
+                            user_query=queries_history[-1],
+                            sql_query=answer_an["sql_query"],
+                            query_results=query_results,
+                            db_description=db_description
+                        )
+
+                        yield json.dumps(
+                            {
+                                "type": "ai_response",
+                                "final_response": True,
+                                "message": user_readable_response,
+                            }
+                        ) + MESSAGE_DELIMITER
+
+                        # Log overall completion time
+                        overall_elapsed = time.perf_counter() - overall_start
+                        logging.info(
+                            "Query processing completed successfully - Total time: %.2f seconds",
+                            overall_elapsed
+                        )
+
+                except Exception as e:  # pylint: disable=broad-exception-caught
+                    execution_error = str(e)
+                    overall_elapsed = time.perf_counter() - overall_start
+                    logging.error("Error executing SQL query: %s", str(e))  # nosemgrep
+                    logging.info(
+                        "Query processing failed during execution - Total time: %.2f seconds",
+                        overall_elapsed
+                    )
+                    yield json.dumps({
+                        "type": "error", 
+                        "final_response": True, 
+                        "message": "Error executing SQL query"
+                    }) + MESSAGE_DELIMITER
+            else:
+                execution_error = "Missing information"
+                # SQL query is not valid/translatable - generate follow-up questions
+                follow_up_result = follow_up_agent.generate_follow_up_question(
+                    user_question=queries_history[-1],
+                    analysis_result=answer_an
+                )
+
+                # Send follow-up questions to help the user
+                yield json.dumps({
+                    "type": "followup_questions",
+                    "final_response": True,
+                    "message": follow_up_result,
+                    "missing_information": answer_an.get("missing_information", ""),
+                    "ambiguities": answer_an.get("ambiguities", "")
+                }) + MESSAGE_DELIMITER
+
+                overall_elapsed = time.perf_counter() - overall_start
+                logging.info(
+                    "Query processing completed (non-translatable SQL) - Total time: %.2f seconds",
+                    overall_elapsed
+                )
+
+            # Save conversation to memory (only for on-topic queries)
+            # Determine the final answer based on which path was taken
+            final_answer = user_readable_response if user_readable_response else follow_up_result
+
+            # Build comprehensive response for memory
+            full_response = {
+                "question": queries_history[-1],
+                "generated_sql": answer_an.get('sql_query', ""),
+                "answer": final_answer
+            }
+
+            # Add error information if SQL execution failed
+            if execution_error:
+                full_response["error"] = execution_error
+                full_response["success"] = False
+            else:
+                full_response["success"] = True
+
+
+            # Save query to memory
+            save_query_task = asyncio.create_task(
+                memory_tool.save_query_memory(
+                    query=queries_history[-1],
+                    sql_query=answer_an["sql_query"],
+                    success=full_response["success"],
+                    error=execution_error
+                )
+            )
+            save_query_task.add_done_callback(
+                lambda t: logging.error("Query memory save failed: %s", t.exception())  # nosemgrep
+                if t.exception() else logging.info("Query memory saved successfully")
+            )
+
+            # Save conversation with memory tool (run in background)
+            save_task = asyncio.create_task(
+                memory_tool.add_new_memory(full_response,
+                                            [queries_history, result_history])
+            )
+            # Add error handling callback to prevent silent failures
+            save_task.add_done_callback(
+                lambda t: logging.error("Memory save failed: %s", t.exception())  # nosemgrep
+                if t.exception() else logging.info("Conversation saved to memory tool")
+            )
+            logging.info("Conversation save task started in background")
+
+            # Clean old memory in background (once per week cleanup)
+            clean_memory_task = asyncio.create_task(memory_tool.clean_memory())
+            clean_memory_task.add_done_callback(
+                lambda t: logging.error("Memory cleanup failed: %s", t.exception())  # nosemgrep
+                if t.exception() else logging.info("Memory cleanup completed successfully")
+            )
+
+        # Log timing summary at the end of processing
+        overall_elapsed = time.perf_counter() - overall_start
+        logging.info("Query processing pipeline completed - Total time: %.2f seconds",
+                     overall_elapsed)
+
+    return generate()
+
+
+async def execute_destructive_operation(
+    user_id: str,
+    graph_id: str,
+    confirm_data: ConfirmRequest,
+):
+    """
+    Handle user confirmation for destructive SQL operations
+    """
+
+    graph_id = _graph_name(user_id, graph_id)
+
+    if hasattr(confirm_data, 'confirmation'):
+        confirmation = confirm_data.confirmation.strip().upper()
+    else:
+        confirmation = ""
+
+    sql_query = confirm_data.sql_query if hasattr(confirm_data, 'sql_query') else ""
+    queries_history = confirm_data.chat if hasattr(confirm_data, 'chat') else []
+
+    if not sql_query:
+        raise InvalidArgumentError("No SQL query provided")
+
+    # Create a generator function for streaming the confirmation response
+    async def generate_confirmation():
+        # Create memory tool for saving query results
+        memory_tool = await MemoryTool.create(user_id, graph_id)
+
+        if confirmation == "CONFIRM":
+            try:
+                db_description, db_url = await get_db_description(graph_id)
+
+                # Determine database type and get appropriate loader
+                _, loader_class = get_database_type_and_loader(db_url)
+
+                if not loader_class:
+                    yield json.dumps({
+                        "type": "error",
+                        "message": "Unable to determine database type"
+                    }) + MESSAGE_DELIMITER
+                    return
+
+                step = {"type": "reasoning_step",
+                       "message": "Step 2: Executing confirmed SQL query"}
+                yield json.dumps(step) + MESSAGE_DELIMITER
+
+                # Check if this query modifies the database schema using appropriate loader
+                is_schema_modifying, operation_type = (
+                    loader_class.is_schema_modifying_query(sql_query)
+                )
+                query_results = loader_class.execute_sql_query(sql_query, db_url)
+                yield json.dumps(
+                    {
+                        "type": "query_result",
+                        "data": query_results,
+                    }
+                ) + MESSAGE_DELIMITER
+
+                # If schema was modified, refresh the graph
+                if is_schema_modifying:
+                    step = {"type": "reasoning_step",
+                           "message": "Step 3: Schema change detected - refreshing graph..."}
+                    yield json.dumps(step) + MESSAGE_DELIMITER
+
+                    refresh_success, refresh_message = (
+                        await loader_class.refresh_graph_schema(graph_id, db_url)
+                    )
+
+                    if refresh_success:
+                        yield json.dumps(
+                            {
+                                "type": "schema_refresh",
+                                "message": (f"✅ Schema change detected ({operation_type} "
+                                          "operation)\n\n🔄 Graph schema has been automatically "
+                                          "refreshed with the latest database structure."),
+                                "refresh_status": "success"
+                            }
+                        ) + MESSAGE_DELIMITER
+                    else:
+                        yield json.dumps(
+                            {
+                                "type": "schema_refresh",
+                                "message": (f"⚠️ Schema was modified but graph refresh failed: "
+                                          f"{refresh_message}"),
+                                "refresh_status": "failed"
+                            }
+                        ) + MESSAGE_DELIMITER
+
+                # Generate user-readable response using AI
+                step_num = "4" if is_schema_modifying else "3"
+                step = {"type": "reasoning_step",
+                       "message": f"Step {step_num}: Generating user-friendly response"}
+                yield json.dumps(step) + MESSAGE_DELIMITER
+
+                response_agent = ResponseFormatterAgent()
+                user_readable_response = response_agent.format_response(
+                    user_query=queries_history[-1] if queries_history else "Destructive operation",
+                    sql_query=sql_query,
+                    query_results=query_results,
+                    db_description=db_description
+                )
+
+                yield json.dumps(
+                    {
+                        "type": "ai_response",
+                        "message": user_readable_response,
+                    }
+                ) + MESSAGE_DELIMITER
+
+                # Save successful confirmed query to memory
+                save_query_task = asyncio.create_task(
+                    memory_tool.save_query_memory(
+                        query=(queries_history[-1] if queries_history
+                               else "Destructive operation confirmation"),
+                        sql_query=sql_query,
+                        success=True,
+                        error=""
+                    )
+                )
+                save_query_task.add_done_callback(
+                    lambda t: logging.error("Confirmed query memory save failed: %s",
+                                            t.exception())  # nosemgrep
+                    if t.exception() else logging.info("Confirmed query memory saved successfully")
+                )
+
+            except Exception as e:  # pylint: disable=broad-exception-caught
+                logging.error("Error executing confirmed SQL query: %s", str(e))  # nosemgrep
+
+                # Save failed confirmed query to memory
+                save_query_task = asyncio.create_task(
+                    memory_tool.save_query_memory(
+                        query=(queries_history[-1] if queries_history
+                               else "Destructive operation confirmation"),
+                        sql_query=sql_query,
+                        success=False,
+                        error=str(e)
+                    )
+                )
+                save_query_task.add_done_callback(
+                    lambda t: logging.error(  # nosemgrep
+                        "Failed confirmed query memory save failed: %s", t.exception()
+                    ) if t.exception() else logging.info(
+                        "Failed confirmed query memory saved successfully"
+                    )
+                )
+
+                yield json.dumps(
+                    {"type": "error", "message": "Error executing query"}
+                ) + MESSAGE_DELIMITER
+        else:
+            # User cancelled or provided invalid confirmation
+            yield json.dumps(
+                {
+                    "type": "operation_cancelled",
+                    "message": "Operation cancelled. The destructive SQL query was not executed."
+                }
+            ) + MESSAGE_DELIMITER
+
+    return generate_confirmation()
+
+async def refresh_database_schema(user_id: str, graph_id: str):
+    """
+    Manually refresh the graph schema from the database.
+    This endpoint allows users to manually trigger a schema refresh
+    if they suspect the graph is out of sync with the database.
+    """
+    graph_id = _graph_name(user_id, graph_id)
+
+    # Prevent refresh of demo databases
+    if GENERAL_PREFIX and graph_id.startswith(GENERAL_PREFIX):
+        raise InvalidArgumentError("Demo graphs cannot be refreshed")
+
+    try:
+        # Get database description and URL
+        _, db_url = await get_db_description(graph_id)
+
+        if not db_url or db_url == "No URL available for this database.":
+            raise InternalError("No database URL found for this graph")
+
+        # Call load_database to refresh the schema by reconnecting
+        return await load_database(db_url, user_id)
+    except InternalError:
+        raise
+    except Exception as e:
+        logging.error("Error in refresh_graph_schema: %s", str(e))
+        raise InternalError("Internal server error while refreshing schema") from e
+
+async def delete_database(user_id: str, graph_id: str):
+    """Delete the specified graph (namespaced to the user).
+
+    This will attempt to delete the FalkorDB graph belonging to the
+    authenticated user. The graph id used by the client is stripped of
+    namespace and will be namespaced using the user's id from the request
+    state.
+    """
+    namespaced = _graph_name(user_id, graph_id)
+    if GENERAL_PREFIX and graph_id.startswith(GENERAL_PREFIX):
+        raise InvalidArgumentError("Demo graphs cannot be deleted")
+
+    try:
+        # Select and delete the graph using the FalkorDB client API
+        graph = db.select_graph(namespaced)
+        await graph.delete()
+        return {"success": True, "graph": graph_id}
+    except ResponseError as re:
+        raise GraphNotFoundError("Failed to delete graph, Graph not found") from re
+    except Exception as e:  # pylint: disable=broad-exception-caught
+        logging.exception("Failed to delete graph %s: %s", sanitize_log_input(namespaced), e)
+        raise InternalError("Failed to delete graph") from e
diff --git a/api/routes/database.py b/api/routes/database.py
index 23f5d99b..0454161a 100644
--- a/api/routes/database.py
+++ b/api/routes/database.py
@@ -1,17 +1,10 @@
 """Database connection routes for the text2sql API."""
-
-import logging
-import json
-import time
-
-from fastapi import APIRouter, Request, HTTPException
+from fastapi import APIRouter, Request
 from fastapi.responses import StreamingResponse
 from pydantic import BaseModel
 
 from api.auth.user_management import token_required
-from api.loaders.postgres_loader import PostgresLoader
-from api.loaders.mysql_loader import MySQLLoader
-
+from api.core.schema_loader import load_database
 from api.routes.tokens import UNAUTHORIZED_RESPONSE
 
 database_router = APIRouter(tags=["Database Connection"])
@@ -28,7 +21,7 @@ class DatabaseConnectionRequest(BaseModel):
 
     url: str
 
-@database_router.post("/database", operation_id="connect_database", responses={
+@database_router.post("/database", operation_id="connect_database", tags=["mcp_tool"], responses={
     401: UNAUTHORIZED_RESPONSE
 })
 @token_required
@@ -38,102 +31,5 @@ async def connect_database(request: Request, db_request: DatabaseConnectionReque
     Supports both PostgreSQL and MySQL databases.
     Streams progress steps as a sequence of JSON messages separated by MESSAGE_DELIMITER.
     """
-    url = db_request.url
-    if not url:
-        raise HTTPException(status_code=400, detail="No URL provided")
-
-    # Validate URL format
-    if not isinstance(url, str) or len(url.strip()) == 0:
-        raise HTTPException(status_code=400, detail="Invalid URL format")
-
-    async def generate():
-        overall_start = time.perf_counter()
-        steps_counter = 0
-        try:
-            # Step 1: Start
-            steps_counter += 1
-            yield json.dumps(
-                {
-                    "type": "reasoning_step",
-                    "message": f"Step {steps_counter}: Starting database connection",
-                }
-            ) + MESSAGE_DELIMITER
-
-            # Step 2: Determine type
-            db_type = None
-            if url.startswith("postgres://") or url.startswith("postgresql://"):
-                db_type = "postgresql"
-                loader = PostgresLoader
-            elif url.startswith("mysql://"):
-                db_type = "mysql"
-                loader = MySQLLoader
-            else:
-                yield json.dumps(
-                    {"type": "error", "message": "Invalid database URL format"}
-                ) + MESSAGE_DELIMITER
-                return
-
-            steps_counter += 1
-            yield json.dumps(
-                {
-                    "type": "reasoning_step",
-                    "message": f"Step {steps_counter}: Detected database type: {db_type}. "
-                                "Attempting to load schema...",
-                }
-            ) + MESSAGE_DELIMITER
-
-            # Step 3: Attempt to load schema using the loader
-            success, result = [False, ""]
-            try:
-                load_start = time.perf_counter()
-                async for progress in loader.load(request.state.user_id, url):
-                    success, result = progress
-                    if success:
-                        steps_counter += 1
-                        yield json.dumps(
-                            {
-                                "type": "reasoning_step",
-                                "message": f"Step {steps_counter}: {result}",
-                            }
-                        ) + MESSAGE_DELIMITER
-                    else:
-                        break
-
-                load_elapsed = time.perf_counter() - load_start
-                logging.info(
-                    "Database load attempt finished in %.2f seconds", load_elapsed
-                )
-
-                if success:
-                    yield json.dumps(
-                        {
-                            "type": "final_result",
-                            "success": True,
-                            "message": "Database connected and schema loaded successfully",
-                        }
-                    ) + MESSAGE_DELIMITER
-                else:
-                    # Don't stream the full internal result; give higher-level error
-                    logging.error("Database loader failed: %s", str(result))  # nosemgrep
-                    yield json.dumps(
-                        {"type": "error", "message": "Failed to load database schema"}
-                    ) + MESSAGE_DELIMITER
-            except Exception as e:  # pylint: disable=broad-exception-caught
-                logging.exception("Error while loading database schema: %s", str(e))
-                yield json.dumps(
-                    {"type": "error", "message": "Error connecting to database"}
-                ) + MESSAGE_DELIMITER
-
-        except Exception as e:  # pylint: disable=broad-exception-caught
-            logging.exception("Unexpected error in connect_database stream: %s", str(e))
-            yield json.dumps(
-                {"type": "error", "message": "Internal server error"}
-            ) + MESSAGE_DELIMITER
-        finally:
-            overall_elapsed = time.perf_counter() - overall_start
-            logging.info(
-                "connect_database processing completed - Total time: %.2f seconds",
-                overall_elapsed,
-            )
-
-    return StreamingResponse(generate(), media_type="application/json")
+    generator = await load_database(db_request.url, request.state.user_id)
+    return StreamingResponse(generator, media_type="application/json")
diff --git a/api/routes/graphs.py b/api/routes/graphs.py
index 903cecda..a3b14e22 100644
--- a/api/routes/graphs.py
+++ b/api/routes/graphs.py
@@ -1,35 +1,28 @@
 """Graph-related routes for the text2sql API."""
 
-import asyncio
-import json
-import logging
-import os
-import time
-
 from fastapi import APIRouter, Request, HTTPException, UploadFile, File
 from fastapi.responses import JSONResponse, StreamingResponse
 from pydantic import BaseModel
-from redis import ResponseError
 
-from api.routes.database import connect_database, DatabaseConnectionRequest
-from api.agents import AnalysisAgent, RelevancyAgent, ResponseFormatterAgent, FollowUpAgent
+from api.core.schema_loader import list_databases
+from api.core.text2sql import (
+    GENERAL_PREFIX,
+    ChatRequest,
+    ConfirmRequest,
+    GraphNotFoundError,
+    InternalError,
+    InvalidArgumentError,
+    delete_database,
+    execute_destructive_operation,
+    get_schema,
+    query_database,
+    refresh_database_schema,
+)
 from api.auth.user_management import token_required
-from api.config import Config
-from api.extensions import db
-from api.graph import find, get_db_description
-from api.loaders.postgres_loader import PostgresLoader
-from api.loaders.mysql_loader import MySQLLoader
-from api.memory.graphiti_tool import MemoryTool
-
 from api.routes.tokens import UNAUTHORIZED_RESPONSE
 
-# Use the same delimiter as in the JavaScript
-MESSAGE_DELIMITER = "|||FALKORDB_MESSAGE_BOUNDARY|||"
-
 graphs_router = APIRouter(tags=["Graphs & Databases"])
 
-GENERAL_PREFIX = os.getenv("GENERAL_PREFIX")
-
 
 class GraphData(BaseModel):
     """Graph data model.
@@ -37,207 +30,59 @@ class GraphData(BaseModel):
     Args:
         BaseModel (_type_): _description_
     """
-    database: str
-
-
-class ChatRequest(BaseModel):
-    """Chat request model.
-
-    Args:
-        BaseModel (_type_): _description_
-    """
-    chat: list[str]
-    result: list[str] | None = None
-    instructions: str | None = None
-
-
-class ConfirmRequest(BaseModel):
-    """Confirmation request model.
-
-    Args:
-        BaseModel (_type_): _description_
-    """
-    sql_query: str
-    confirmation: str = ""
-    chat: list = []
-
-
-def get_database_type_and_loader(db_url: str):
-    """
-    Determine the database type from URL and return appropriate loader class.
-
-    Args:
-        db_url: Database connection URL
-
-    Returns:
-        tuple: (database_type, loader_class)
-    """
-    if not db_url or db_url == "No URL available for this database.":
-        return None, None
-
-    db_url_lower = db_url.lower()
-
-    if db_url_lower.startswith('postgresql://') or db_url_lower.startswith('postgres://'):
-        return 'postgresql', PostgresLoader
-    if db_url_lower.startswith('mysql://'):
-        return 'mysql', MySQLLoader
-
-    # Default to PostgresLoader for backward compatibility
-    return 'postgresql', PostgresLoader
-
-def sanitize_query(query: str) -> str:
-    """Sanitize the query to prevent injection attacks."""
-    return query.replace('\n', ' ').replace('\r', ' ')[:500]
-
-def sanitize_log_input(value: str) -> str:
-    """
-    Sanitize input for safe logging—remove newlines, 
-    carriage returns, tabs, and wrap in repr().
-    """
-    if not isinstance(value, str):
-        value = str(value)
-
-    return value.replace('\n', ' ').replace('\r', ' ').replace('\t', ' ')
 
-def _graph_name(request: Request, graph_id:str) -> str:
-    if not graph_id or not isinstance(graph_id, str):
-        raise HTTPException(status_code=400, detail="Invalid graph_id")
-
-    graph_id = graph_id.strip()[:200]
-    if not graph_id:
-        raise HTTPException(status_code=400,
-                            detail="Invalid graph_id, must be less than 200 characters.")
-    if GENERAL_PREFIX and graph_id.startswith(GENERAL_PREFIX):
-        return graph_id
+    database: str
 
-    return f"{request.state.user_id}_{graph_id}"
 
-@graphs_router.get("", operation_id="list_databases", responses={
-    401: UNAUTHORIZED_RESPONSE
-})
+@graphs_router.get(
+    "",
+    operation_id="list_databases",
+    tags=["mcp_tool"],
+    responses={401: UNAUTHORIZED_RESPONSE},
+)
 @token_required
 async def list_graphs(request: Request):
     """
     This route is used to list all the graphs (databases names) that are available in the database.
     """
-    user_id = request.state.user_id
-    user_graphs = await db.list_graphs()
-
-    # Only include graphs that start with user_id + '_', and strip the prefix
-    filtered_graphs = [graph[len(f"{user_id}_"):]
-                       for graph in user_graphs if graph.startswith(f"{user_id}_")]
-
-    if GENERAL_PREFIX:
-        demo_graphs = [graph for graph in user_graphs
-                       if graph.startswith(GENERAL_PREFIX)]
-        filtered_graphs = filtered_graphs + demo_graphs
+    graphs = await list_databases(request.state.user_id, GENERAL_PREFIX)
+    return JSONResponse(content=graphs)
 
-    return JSONResponse(content=filtered_graphs)
 
-@graphs_router.get("/{graph_id}/data", operation_id="database_schema", responses={
-    401: UNAUTHORIZED_RESPONSE
-})
+@graphs_router.get(
+    "/{graph_id}/data",
+    operation_id="database_schema",
+    tags=["mcp_tool"],
+    responses={401: UNAUTHORIZED_RESPONSE},
+)
 @token_required
-async def get_graph_data(request: Request, graph_id: str):  # pylint: disable=too-many-locals,too-many-branches
+async def get_graph_data(
+    request: Request, graph_id: str
+):  # pylint: disable=too-many-locals,too-many-branches
     """Return all nodes and edges for the specified database schema (namespaced to the user).
 
     This endpoint returns a JSON object with two keys: `nodes` and `edges`.
     Nodes contain a minimal set of properties (id, name, labels, props).
     Edges contain source and target node names (or internal ids), type and props.
-    
+
         args:
             graph_id (str): The ID of the graph to query (the database name).
     """
-    namespaced = _graph_name(request, graph_id)
+
     try:
-        graph = db.select_graph(namespaced)
-    except Exception as e:  # pylint: disable=broad-exception-caught
-        logging.error("Failed to select graph %s: %s", sanitize_log_input(namespaced), e)
-        return JSONResponse(content={"error": "Graph not found or database error"}, status_code=404)
-
-    # Build table nodes with columns and table-to-table links (foreign keys)
-    tables_query = """
-    MATCH (t:Table)
-    OPTIONAL MATCH (c:Column)-[:BELONGS_TO]->(t)
-    RETURN t.name AS table, collect(DISTINCT {name: c.name, type: c.type}) AS columns
-    """
+        schema = await get_schema(request.state.user_id, graph_id)
+        return JSONResponse(content=schema)
+    except GraphNotFoundError as gnfe:
+        return JSONResponse(content={"error": str(gnfe)}, status_code=404)
+    except InternalError as ie:
+        return JSONResponse(content={"error": str(ie)}, status_code=500)
 
-    links_query = """
-    MATCH (src_col:Column)-[:BELONGS_TO]->(src_table:Table),
-          (tgt_col:Column)-[:BELONGS_TO]->(tgt_table:Table),
-          (src_col)-[:REFERENCES]->(tgt_col)
-    RETURN DISTINCT src_table.name AS source, tgt_table.name AS target
-    """
 
-    try:
-        tables_res = (await graph.query(tables_query)).result_set
-        links_res = (await graph.query(links_query)).result_set
-    except Exception as e:  # pylint: disable=broad-exception-caught
-        logging.error("Error querying graph data for %s: %s", sanitize_log_input(namespaced), e)
-        return JSONResponse(content={"error": "Failed to read graph data"}, status_code=500)
-
-    nodes = []
-    for row in tables_res:
-        try:
-            table_name, columns = row
-        except Exception:  # pylint: disable=broad-exception-caught
-            continue
-        # Normalize columns: ensure a list of dicts with name/type
-        if not isinstance(columns, list):
-            columns = [] if columns is None else [columns]
-
-        normalized = []
-        for col in columns:
-            try:
-                # col may be a mapping-like object or a simple value
-                if not col:
-                    continue
-                # Some drivers may return a tuple or list for the collected map
-                if isinstance(col, (list, tuple)) and len(col) >= 2:
-                    # try to interpret as (name, type)
-                    name = col[0]
-                    ctype = col[1] if len(col) > 1 else None
-                elif isinstance(col, dict):
-                    name = col.get('name') or col.get('columnName')
-                    ctype = col.get('type') or col.get('dataType')
-                else:
-                    name = str(col)
-                    ctype = None
-
-                if not name:
-                    continue
-
-                normalized.append({"name": name, "type": ctype})
-            except Exception:  # pylint: disable=broad-exception-caught
-                continue
-
-        nodes.append({
-            "id": table_name,
-            "name": table_name,
-            "columns": normalized,
-        })
-
-    links = []
-    seen = set()
-    for row in links_res:
-        try:
-            source, target = row
-        except Exception:  # pylint: disable=broad-exception-caught
-            continue
-        key = (source, target)
-        if key in seen:
-            continue
-        seen.add(key)
-        links.append({"source": source, "target": target})
-
-    return JSONResponse(content={"nodes": nodes, "links": links})
-
-
-@graphs_router.post("", responses={
-    401: UNAUTHORIZED_RESPONSE
-})
+@graphs_router.post("", responses={401: UNAUTHORIZED_RESPONSE})
 @token_required
-async def load_graph(request: Request, data: GraphData = None, file: UploadFile = File(None)): # pylint: disable=unused-argument
+async def load_graph(
+    request: Request, data: GraphData = None, file: UploadFile = File(None)
+):  # pylint: disable=unused-argument
     """
     This route is used to load the graph data into the database.
     It expects either:
@@ -247,428 +92,60 @@ async def load_graph(request: Request, data: GraphData = None, file: UploadFile
     """
 
     # ✅ Handle JSON Payload
-    if data: # pylint: disable=no-else-raise
+    if data:  # pylint: disable=no-else-raise
         raise HTTPException(status_code=501, detail="JSONLoader is not implemented yet")
     # ✅ Handle File Upload
     elif file:
         filename = file.filename
 
         # ✅ Check if file is JSON
-        if filename.endswith(".json"): # pylint: disable=no-else-raise
-            raise HTTPException(status_code=501, detail="JSONLoader is not implemented yet")
+        if filename.endswith(".json"):  # pylint: disable=no-else-raise
+            raise HTTPException(
+                status_code=501, detail="JSONLoader is not implemented yet"
+            )
 
         # ✅ Check if file is XML
         elif filename.endswith(".xml"):
-            raise HTTPException(status_code=501, detail="ODataLoader is not implemented yet")
+            raise HTTPException(
+                status_code=501, detail="ODataLoader is not implemented yet"
+            )
 
         # ✅ Check if file is csv
         elif filename.endswith(".csv"):
-            raise HTTPException(status_code=501, detail="CSVLoader is not implemented yet")
+            raise HTTPException(
+                status_code=501, detail="CSVLoader is not implemented yet"
+            )
         else:
             raise HTTPException(status_code=415, detail="Unsupported file type")
     else:
         raise HTTPException(status_code=415, detail="Unsupported Content-Type")
 
-@graphs_router.post("/{graph_id}", operation_id="query_database", responses={
-    401: UNAUTHORIZED_RESPONSE
-})
+
+@graphs_router.post(
+    "/{graph_id}",
+    operation_id="query_database",
+    tags=["mcp_tool"],
+    responses={401: UNAUTHORIZED_RESPONSE},
+)
 @token_required
-async def query_graph(request: Request, graph_id: str, chat_data: ChatRequest):  # pylint: disable=too-many-statements
+async def query_graph(
+    request: Request, graph_id: str, chat_data: ChatRequest
+):  # pylint: disable=too-many-statements
     """
     Query the Database with the given graph_id and chat_data.
-    
+
         Args:
             graph_id (str): The ID of the graph to query.
             chat_data (ChatRequest): The chat data containing user queries and context.
     """
-    graph_id = _graph_name(request, graph_id)
-
-    queries_history = chat_data.chat if hasattr(chat_data, 'chat') else None
-    result_history = chat_data.result if hasattr(chat_data, 'result') else None
-    instructions = chat_data.instructions if hasattr(chat_data, 'instructions') else None
-
-    if not queries_history or not isinstance(queries_history, list):
-        raise HTTPException(status_code=400, detail="Invalid or missing chat history")
-
-    if len(queries_history) == 0:
-        raise HTTPException(status_code=400, detail="Empty chat history")
-
-    # Truncate history to keep only the last N questions maximum (configured in Config)
-    if len(queries_history) > Config.SHORT_MEMORY_LENGTH:
-        queries_history = queries_history[-Config.SHORT_MEMORY_LENGTH:]
-        # Keep corresponding results (one less than queries since current query has no result yet)
-        if result_history and len(result_history) > 0:
-            max_results = Config.SHORT_MEMORY_LENGTH - 1
-            if max_results > 0:
-                result_history = result_history[-max_results:]
-            else:
-                result_history = []
-
-    logging.info("User Query: %s", sanitize_query(queries_history[-1]))
-
-    memory_tool_task = asyncio.create_task(MemoryTool.create(request.state.user_id, graph_id))
-
-    # Create a generator function for streaming
-    async def generate():  # pylint: disable=too-many-locals,too-many-branches,too-many-statements
-        # Start overall timing
-        overall_start = time.perf_counter()
-        logging.info("Starting query processing pipeline for query: %s",
-                     sanitize_query(queries_history[-1]))  # nosemgrep
-
-        agent_rel = RelevancyAgent(queries_history, result_history)
-        agent_an = AnalysisAgent(queries_history, result_history)
-        follow_up_agent = FollowUpAgent(queries_history, result_history)
-
-        step = {"type": "reasoning_step",
-                "final_response": False,
-                "message": "Step 1: Analyzing user query and generating SQL..."}
-        yield json.dumps(step) + MESSAGE_DELIMITER
-        # Ensure the database description is loaded
-        db_description, db_url = await get_db_description(graph_id)
-
-        # Determine database type and get appropriate loader
-        _, loader_class = get_database_type_and_loader(db_url)
-
-        if not loader_class:
-            overall_elapsed = time.perf_counter() - overall_start
-            logging.info("Query processing failed (no loader) - Total time: %.2f seconds",
-                         overall_elapsed)
-            yield json.dumps({
-                "type": "error",
-                "final_response": True,
-                "message": "Unable to determine database type"
-            }) + MESSAGE_DELIMITER
-            return
-
-        # Start both tasks concurrently
-        find_task = asyncio.create_task(find(graph_id, queries_history, db_description))
-
-        relevancy_task = asyncio.create_task(agent_rel.get_answer(
-            queries_history[-1], db_description
-        ))
-
-        logging.info("Starting relevancy check and graph analysis concurrently")
-
-        # Wait for relevancy check first
-        answer_rel = await relevancy_task
-
-        if answer_rel["status"] != "On-topic": # pylint: disable=too-many-nested-blocks
-            # Cancel the find task since query is off-topic
-            find_task.cancel()
-            try:
-                await find_task
-            except asyncio.CancelledError:
-                logging.info("Find task cancelled due to off-topic query")
-
-            step = {
-                "type": "followup_questions",
-                "final_response": True,
-                "message": "Off topic question: " + answer_rel["reason"],
-            }
-            logging.info("SQL Fail reason: %s", answer_rel["reason"])  # nosemgrep
-            yield json.dumps(step) + MESSAGE_DELIMITER
-            # Total time for off-topic query
-            overall_elapsed = time.perf_counter() - overall_start
-            logging.info("Query processing completed (off-topic) - Total time: %.2f seconds",
-                         overall_elapsed)
-        else:
-            # Query is on-topic, wait for find results
-            result = await find_task
-
-            logging.info("Calling to analysis agent with query: %s",
-                         sanitize_query(queries_history[-1]))  # nosemgrep
-            memory_tool = await memory_tool_task
-            memory_context = await memory_tool.search_memories(
-                query=queries_history[-1]
-            )
-
-            logging.info("Starting SQL generation with analysis agent")
-            answer_an = agent_an.get_analysis(
-                queries_history[-1], result, db_description, instructions, memory_context
-            )
-
-            # Initialize response variables
-            user_readable_response = ""
-            follow_up_result = ""
-            execution_error = False
-
-            logging.info("Generated SQL query: %s", answer_an['sql_query'])  # nosemgrep
-            yield json.dumps(
-                {
-                    "type": "sql_query",
-                    "data": answer_an["sql_query"],
-                    "conf": answer_an["confidence"],
-                    "miss": answer_an["missing_information"],
-                    "amb": answer_an["ambiguities"],
-                    "exp": answer_an["explanation"],
-                    "is_valid": answer_an["is_sql_translatable"],
-                    "final_response": False,
-                }
-            ) + MESSAGE_DELIMITER
-
-            # If the SQL query is valid, execute it using the postgres database db_url
-            if answer_an["is_sql_translatable"]:
-                # Check if this is a destructive operation that requires confirmation
-                sql_query = answer_an["sql_query"]
-                sql_type = sql_query.strip().split()[0].upper() if sql_query else ""
-
-                destructive_ops = ['INSERT', 'UPDATE', 'DELETE', 'DROP',
-                                  'CREATE', 'ALTER', 'TRUNCATE']
-                is_destructive = sql_type in destructive_ops
-                general_graph = graph_id.startswith(GENERAL_PREFIX) if GENERAL_PREFIX else False
-                if is_destructive and not general_graph:
-                    # This is a destructive operation - ask for user confirmation
-                    confirmation_message = f"""⚠️ DESTRUCTIVE OPERATION DETECTED ⚠️
-
-The generated SQL query will perform a **{sql_type}** operation:
-
-SQL:
-{sql_query}
-
-What this will do:
-"""
-                    if sql_type == 'INSERT':
-                        confirmation_message += "• Add new data to the database"
-                    elif sql_type == 'UPDATE':
-                        confirmation_message += ("• Modify existing data in the "
-                                                "database")
-                    elif sql_type == 'DELETE':
-                        confirmation_message += ("• **PERMANENTLY DELETE** data "
-                                                "from the database")
-                    elif sql_type == 'DROP':
-                        confirmation_message += ("• **PERMANENTLY DELETE** entire "
-                                                "tables or database objects")
-                    elif sql_type == 'CREATE':
-                        confirmation_message += ("• Create new tables or database "
-                                                "objects")
-                    elif sql_type == 'ALTER':
-                        confirmation_message += ("• Modify the structure of existing "
-                                                "tables")
-                    elif sql_type == 'TRUNCATE':
-                        confirmation_message += ("• **PERMANENTLY DELETE ALL DATA** "
-                                                "from specified tables")
-                    confirmation_message += """
-
-⚠️ WARNING: This operation will make changes to your database and may be irreversible.
-"""
-
-                    yield json.dumps(
-                        {
-                            "type": "destructive_confirmation",
-                            "message": confirmation_message,
-                            "sql_query": sql_query,
-                            "operation_type": sql_type,
-                            "final_response": False,
-                        }
-                    ) + MESSAGE_DELIMITER
-                    # Log end-to-end time for destructive operation that requires confirmation
-                    overall_elapsed = time.perf_counter() - overall_start
-                    logging.info(
-                        "Query processing halted for confirmation - Total time: %.2f seconds",
-                        overall_elapsed
-                    )
-                    return  # Stop here and wait for user confirmation
-
-                try:
-                    if is_destructive and general_graph:
-                        yield json.dumps(
-                            {
-                                "type": "error", 
-                                "final_response": True, 
-                                "message": "Destructive operation not allowed on demo graphs"
-                            }) + MESSAGE_DELIMITER
-                    else:
-                        step = {"type": "reasoning_step",
-                                "final_response": False,
-                                "message": "Step 2: Executing SQL query"}
-                        yield json.dumps(step) + MESSAGE_DELIMITER
-
-                        # Check if this query modifies the database schema
-                        # using the appropriate loader
-                        is_schema_modifying, operation_type = (
-                            loader_class.is_schema_modifying_query(sql_query)
-                        )
-
-                        query_results = loader_class.execute_sql_query(
-                            answer_an["sql_query"],
-                            db_url
-                        )
-                        if len(query_results) != 0:
-                            yield json.dumps(
-                                {
-                                    "type": "query_result",
-                                    "data": query_results,
-                                    "final_response": False
-                                }
-                            ) + MESSAGE_DELIMITER
-
-                        # If schema was modified, refresh the graph using the appropriate loader
-                        if is_schema_modifying:
-                            step = {"type": "reasoning_step",
-                                    "final_response": False,
-                                    "message": ("Step 3: Schema change detected - "
-                                                "refreshing graph...")}
-                            yield json.dumps(step) + MESSAGE_DELIMITER
-
-                            refresh_result = await loader_class.refresh_graph_schema(
-                                graph_id, db_url)
-                            refresh_success, refresh_message = refresh_result
-
-                            if refresh_success:
-                                refresh_msg = (f"✅ Schema change detected "
-                                            f"({operation_type} operation)\n\n"
-                                            f"🔄 Graph schema has been automatically "
-                                            f"refreshed with the latest database "
-                                            f"structure.")
-                                yield json.dumps(
-                                    {
-                                        "type": "schema_refresh",
-                                        "final_response": False,
-                                        "message": refresh_msg,
-                                        "refresh_status": "success"
-                                    }
-                                ) + MESSAGE_DELIMITER
-                            else:
-                                failure_msg = (f"⚠️ Schema was modified but graph "
-                                            f"refresh failed: {refresh_message}")
-                                yield json.dumps(
-                                    {
-                                        "type": "schema_refresh",
-                                        "final_response": False,
-                                        "message": failure_msg,
-                                        "refresh_status": "failed"
-                                    }
-                                ) + MESSAGE_DELIMITER
-
-                        # Generate user-readable response using AI
-                        step_num = "4" if is_schema_modifying else "3"
-                        step = {"type": "reasoning_step",
-                                "final_response": False,
-                            "message": f"Step {step_num}: Generating user-friendly response"}
-                        yield json.dumps(step) + MESSAGE_DELIMITER
-
-                        response_agent = ResponseFormatterAgent()
-                        user_readable_response = response_agent.format_response(
-                            user_query=queries_history[-1],
-                            sql_query=answer_an["sql_query"],
-                            query_results=query_results,
-                            db_description=db_description
-                        )
-
-                        yield json.dumps(
-                            {
-                                "type": "ai_response",
-                                "final_response": True,
-                                "message": user_readable_response,
-                            }
-                        ) + MESSAGE_DELIMITER
-
-                        # Log overall completion time
-                        overall_elapsed = time.perf_counter() - overall_start
-                        logging.info(
-                            "Query processing completed successfully - Total time: %.2f seconds",
-                            overall_elapsed
-                        )
-
-                except Exception as e:  # pylint: disable=broad-exception-caught
-                    execution_error = str(e)
-                    overall_elapsed = time.perf_counter() - overall_start
-                    logging.error("Error executing SQL query: %s", str(e))  # nosemgrep
-                    logging.info(
-                        "Query processing failed during execution - Total time: %.2f seconds",
-                        overall_elapsed
-                    )
-                    yield json.dumps({
-                        "type": "error", 
-                        "final_response": True, 
-                        "message": "Error executing SQL query"
-                    }) + MESSAGE_DELIMITER
-            else:
-                execution_error = "Missing information"
-                # SQL query is not valid/translatable - generate follow-up questions
-                follow_up_result = follow_up_agent.generate_follow_up_question(
-                    user_question=queries_history[-1],
-                    analysis_result=answer_an
-                )
-
-                # Send follow-up questions to help the user
-                yield json.dumps({
-                    "type": "followup_questions",
-                    "final_response": True,
-                    "message": follow_up_result,
-                    "missing_information": answer_an.get("missing_information", ""),
-                    "ambiguities": answer_an.get("ambiguities", "")
-                }) + MESSAGE_DELIMITER
-
-                overall_elapsed = time.perf_counter() - overall_start
-                logging.info(
-                    "Query processing completed (non-translatable SQL) - Total time: %.2f seconds",
-                    overall_elapsed
-                )
-
-            # Save conversation to memory (only for on-topic queries)
-            # Determine the final answer based on which path was taken
-            final_answer = user_readable_response if user_readable_response else follow_up_result
-
-            # Build comprehensive response for memory
-            full_response = {
-                "question": queries_history[-1],
-                "generated_sql": answer_an.get('sql_query', ""),
-                "answer": final_answer
-            }
-
-            # Add error information if SQL execution failed
-            if execution_error:
-                full_response["error"] = execution_error
-                full_response["success"] = False
-            else:
-                full_response["success"] = True
-
-
-            # Save query to memory
-            save_query_task = asyncio.create_task(
-                memory_tool.save_query_memory(
-                    query=queries_history[-1],
-                    sql_query=answer_an["sql_query"],
-                    success=full_response["success"],
-                    error=execution_error
-                )
-            )
-            save_query_task.add_done_callback(
-                lambda t: logging.error("Query memory save failed: %s", t.exception())  # nosemgrep
-                if t.exception() else logging.info("Query memory saved successfully")
-            )
-
-            # Save conversation with memory tool (run in background)
-            save_task = asyncio.create_task(
-                memory_tool.add_new_memory(full_response,
-                                            [queries_history, result_history])
-            )
-            # Add error handling callback to prevent silent failures
-            save_task.add_done_callback(
-                lambda t: logging.error("Memory save failed: %s", t.exception())  # nosemgrep
-                if t.exception() else logging.info("Conversation saved to memory tool")
-            )
-            logging.info("Conversation save task started in background")
-
-            # Clean old memory in background (once per week cleanup)
-            clean_memory_task = asyncio.create_task(memory_tool.clean_memory())
-            clean_memory_task.add_done_callback(
-                lambda t: logging.error("Memory cleanup failed: %s", t.exception())  # nosemgrep
-                if t.exception() else logging.info("Memory cleanup completed successfully")
-            )
-
-        # Log timing summary at the end of processing
-        overall_elapsed = time.perf_counter() - overall_start
-        logging.info("Query processing pipeline completed - Total time: %.2f seconds",
-                     overall_elapsed)
-
-    return StreamingResponse(generate(), media_type="application/json")
+    try:
+        generator = await query_database(request.state.user_id, graph_id, chat_data)
+        return StreamingResponse(generator, media_type="application/json")
+    except InvalidArgumentError as iae:
+        return JSONResponse(content={"error": str(iae)}, status_code=400)
 
 
-@graphs_router.post("/{graph_id}/confirm", responses={
-    401: UNAUTHORIZED_RESPONSE
-})
+@graphs_router.post("/{graph_id}/confirm", responses={401: UNAUTHORIZED_RESPONSE})
 @token_required
 async def confirm_destructive_operation(
     request: Request,
@@ -679,160 +156,16 @@ async def confirm_destructive_operation(
     Handle user confirmation for destructive SQL operations
     """
 
-    graph_id = _graph_name(request, graph_id)
-
-    if hasattr(confirm_data, 'confirmation'):
-        confirmation = confirm_data.confirmation.strip().upper()
-    else:
-        confirmation = ""
-
-    sql_query = confirm_data.sql_query if hasattr(confirm_data, 'sql_query') else ""
-    queries_history = confirm_data.chat if hasattr(confirm_data, 'chat') else []
-
-    if not sql_query:
-        raise HTTPException(status_code=400, detail="No SQL query provided")
-
-    # Create a generator function for streaming the confirmation response
-    async def generate_confirmation():
-        # Create memory tool for saving query results
-        memory_tool = await MemoryTool.create(request.state.user_id, graph_id)
-
-        if confirmation == "CONFIRM":
-            try:
-                db_description, db_url = await get_db_description(graph_id)
-
-                # Determine database type and get appropriate loader
-                _, loader_class = get_database_type_and_loader(db_url)
-
-                if not loader_class:
-                    yield json.dumps({
-                        "type": "error",
-                        "message": "Unable to determine database type"
-                    }) + MESSAGE_DELIMITER
-                    return
-
-                step = {"type": "reasoning_step",
-                       "message": "Step 2: Executing confirmed SQL query"}
-                yield json.dumps(step) + MESSAGE_DELIMITER
-
-                # Check if this query modifies the database schema using appropriate loader
-                is_schema_modifying, operation_type = (
-                    loader_class.is_schema_modifying_query(sql_query)
-                )
-                query_results = loader_class.execute_sql_query(sql_query, db_url)
-                yield json.dumps(
-                    {
-                        "type": "query_result",
-                        "data": query_results,
-                    }
-                ) + MESSAGE_DELIMITER
-
-                # If schema was modified, refresh the graph
-                if is_schema_modifying:
-                    step = {"type": "reasoning_step",
-                           "message": "Step 3: Schema change detected - refreshing graph..."}
-                    yield json.dumps(step) + MESSAGE_DELIMITER
-
-                    refresh_success, refresh_message = (
-                        await loader_class.refresh_graph_schema(graph_id, db_url)
-                    )
-
-                    if refresh_success:
-                        yield json.dumps(
-                            {
-                                "type": "schema_refresh",
-                                "message": (f"✅ Schema change detected ({operation_type} "
-                                          "operation)\n\n🔄 Graph schema has been automatically "
-                                          "refreshed with the latest database structure."),
-                                "refresh_status": "success"
-                            }
-                        ) + MESSAGE_DELIMITER
-                    else:
-                        yield json.dumps(
-                            {
-                                "type": "schema_refresh",
-                                "message": (f"⚠️ Schema was modified but graph refresh failed: "
-                                          f"{refresh_message}"),
-                                "refresh_status": "failed"
-                            }
-                        ) + MESSAGE_DELIMITER
-
-                # Generate user-readable response using AI
-                step_num = "4" if is_schema_modifying else "3"
-                step = {"type": "reasoning_step",
-                       "message": f"Step {step_num}: Generating user-friendly response"}
-                yield json.dumps(step) + MESSAGE_DELIMITER
-
-                response_agent = ResponseFormatterAgent()
-                user_readable_response = response_agent.format_response(
-                    user_query=queries_history[-1] if queries_history else "Destructive operation",
-                    sql_query=sql_query,
-                    query_results=query_results,
-                    db_description=db_description
-                )
-
-                yield json.dumps(
-                    {
-                        "type": "ai_response",
-                        "message": user_readable_response,
-                    }
-                ) + MESSAGE_DELIMITER
-
-                # Save successful confirmed query to memory
-                save_query_task = asyncio.create_task(
-                    memory_tool.save_query_memory(
-                        query=(queries_history[-1] if queries_history
-                               else "Destructive operation confirmation"),
-                        sql_query=sql_query,
-                        success=True,
-                        error=""
-                    )
-                )
-                save_query_task.add_done_callback(
-                    lambda t: logging.error("Confirmed query memory save failed: %s",
-                                            t.exception())  # nosemgrep
-                    if t.exception() else logging.info("Confirmed query memory saved successfully")
-                )
-
-            except Exception as e:  # pylint: disable=broad-exception-caught
-                logging.error("Error executing confirmed SQL query: %s", str(e))  # nosemgrep
-
-                # Save failed confirmed query to memory
-                save_query_task = asyncio.create_task(
-                    memory_tool.save_query_memory(
-                        query=(queries_history[-1] if queries_history
-                               else "Destructive operation confirmation"),
-                        sql_query=sql_query,
-                        success=False,
-                        error=str(e)
-                    )
-                )
-                save_query_task.add_done_callback(
-                    lambda t: logging.error(  # nosemgrep
-                        "Failed confirmed query memory save failed: %s", t.exception()
-                    ) if t.exception() else logging.info(
-                        "Failed confirmed query memory saved successfully"
-                    )
-                )
-
-                yield json.dumps(
-                    {"type": "error", "message": "Error executing query"}
-                ) + MESSAGE_DELIMITER
-        else:
-            # User cancelled or provided invalid confirmation
-            yield json.dumps(
-                {
-                    "type": "operation_cancelled",
-                    "message": "Operation cancelled. The destructive SQL query was not executed."
-                }
-            ) + MESSAGE_DELIMITER
-
-    return StreamingResponse(generate_confirmation(), media_type="application/json")
+    try:
+        generator = await execute_destructive_operation(
+            request.state.user_id, graph_id, confirm_data
+        )
+        return StreamingResponse(generator, media_type="application/json")
+    except InvalidArgumentError as iae:
+        return JSONResponse(content={"error": str(iae)}, status_code=400)
 
 
-@graphs_router.post("/{graph_id}/refresh", responses={
-    401: UNAUTHORIZED_RESPONSE
-})
+@graphs_router.post("/{graph_id}/refresh", responses={401: UNAUTHORIZED_RESPONSE})
 @token_required
 async def refresh_graph_schema(request: Request, graph_id: str):
     """
@@ -840,34 +173,13 @@ async def refresh_graph_schema(request: Request, graph_id: str):
     This endpoint allows users to manually trigger a schema refresh
     if they suspect the graph is out of sync with the database.
     """
-    graph_id = _graph_name(request, graph_id)
-
-    # Prevent refresh of demo databases
-    if GENERAL_PREFIX and graph_id.startswith(GENERAL_PREFIX):
-        raise HTTPException(status_code=403, detail="Demo graphs cannot be refreshed")
-
     try:
-        # Get database description and URL
-        _, db_url = await get_db_description(graph_id)
-
-        if not db_url or db_url == "No URL available for this database.":
-            raise HTTPException(status_code=404, detail="No database URL found for this graph")
-
-        # Create a database connection request with the stored URL
-        db_request = DatabaseConnectionRequest(url=db_url)
-
-        # Call connect_database to refresh the schema by reconnecting
-        return await connect_database(request, db_request)
+        return await refresh_database_schema(request.state.user_id, graph_id)
+    except InternalError as ie:
+        return JSONResponse(content={"error": str(ie)}, status_code=500)
 
-    except HTTPException:
-        raise
-    except Exception as e:
-        logging.error("Error in refresh_graph_schema: %s", str(e))
-        raise HTTPException(status_code=500, detail="Internal server error while refreshing schema") # pylint: disable=raise-missing-from
 
-@graphs_router.delete("/{graph_id}", responses={
-    401: UNAUTHORIZED_RESPONSE
-})
+@graphs_router.delete("/{graph_id}", responses={401: UNAUTHORIZED_RESPONSE})
 @token_required
 async def delete_graph(request: Request, graph_id: str):
     """Delete the specified graph (namespaced to the user).
@@ -877,18 +189,14 @@ async def delete_graph(request: Request, graph_id: str):
     namespace and will be namespaced using the user's id from the request
     state.
     """
-    namespaced = _graph_name(request, graph_id)
-    if GENERAL_PREFIX and graph_id.startswith(GENERAL_PREFIX):
-        raise HTTPException(status_code=403, detail="Demo graphs cannot be deleted")
 
     try:
-        # Select and delete the graph using the FalkorDB client API
-        graph = db.select_graph(namespaced)
-        await graph.delete()
-        return JSONResponse(content={"success": True, "graph": graph_id})
-    except ResponseError:
-        return JSONResponse(content={"error": "Failed to delete graph, Graph not found"},
-                            status_code=404)
-    except Exception as e:  # pylint: disable=broad-exception-caught
-        logging.exception("Failed to delete graph %s: %s", sanitize_log_input(namespaced), e)
-        return JSONResponse(content={"error": "Failed to delete graph"}, status_code=500)
+        result = await delete_database(request.state.user_id, graph_id)
+        return JSONResponse(content=result)
+
+    except InvalidArgumentError as iae:
+        return JSONResponse(content={"error": str(iae)}, status_code=400)
+    except GraphNotFoundError as gnfe:
+        return JSONResponse(content={"error": str(gnfe)}, status_code=404)
+    except InternalError as ie:
+        return JSONResponse(content={"error": str(ie)}, status_code=500)
diff --git a/app/package-lock.json b/app/package-lock.json
index 04715822..19303528 100644
--- a/app/package-lock.json
+++ b/app/package-lock.json
@@ -8,17 +8,17 @@
       "name": "queryweaver-app",
       "version": "0.0.1",
       "devDependencies": {
-        "@typescript-eslint/eslint-plugin": "^8.40.0",
-        "@typescript-eslint/parser": "^8.40.0",
-        "esbuild": "^0.25.9",
-        "eslint": "^9.34.0",
+        "@typescript-eslint/eslint-plugin": "^8.44.0",
+        "@typescript-eslint/parser": "^8.44.0",
+        "esbuild": "^0.25.10",
+        "eslint": "^9.36.0",
         "typescript": "^5.9.2"
       }
     },
     "node_modules/@esbuild/aix-ppc64": {
-      "version": "0.25.9",
-      "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.25.9.tgz",
-      "integrity": "sha512-OaGtL73Jck6pBKjNIe24BnFE6agGl+6KxDtTfHhy1HmhthfKouEcOhqpSL64K4/0WCtbKFLOdzD/44cJ4k9opA==",
+      "version": "0.25.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.25.10.tgz",
+      "integrity": "sha512-0NFWnA+7l41irNuaSVlLfgNT12caWJVLzp5eAVhZ0z1qpxbockccEt3s+149rE64VUI3Ml2zt8Nv5JVc4QXTsw==",
       "cpu": [
         "ppc64"
       ],
@@ -33,9 +33,9 @@
       }
     },
     "node_modules/@esbuild/android-arm": {
-      "version": "0.25.9",
-      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.25.9.tgz",
-      "integrity": "sha512-5WNI1DaMtxQ7t7B6xa572XMXpHAaI/9Hnhk8lcxF4zVN4xstUgTlvuGDorBguKEnZO70qwEcLpfifMLoxiPqHQ==",
+      "version": "0.25.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.25.10.tgz",
+      "integrity": "sha512-dQAxF1dW1C3zpeCDc5KqIYuZ1tgAdRXNoZP7vkBIRtKZPYe2xVr/d3SkirklCHudW1B45tGiUlz2pUWDfbDD4w==",
       "cpu": [
         "arm"
       ],
@@ -50,9 +50,9 @@
       }
     },
     "node_modules/@esbuild/android-arm64": {
-      "version": "0.25.9",
-      "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.25.9.tgz",
-      "integrity": "sha512-IDrddSmpSv51ftWslJMvl3Q2ZT98fUSL2/rlUXuVqRXHCs5EUF1/f+jbjF5+NG9UffUDMCiTyh8iec7u8RlTLg==",
+      "version": "0.25.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.25.10.tgz",
+      "integrity": "sha512-LSQa7eDahypv/VO6WKohZGPSJDq5OVOo3UoFR1E4t4Gj1W7zEQMUhI+lo81H+DtB+kP+tDgBp+M4oNCwp6kffg==",
       "cpu": [
         "arm64"
       ],
@@ -67,9 +67,9 @@
       }
     },
     "node_modules/@esbuild/android-x64": {
-      "version": "0.25.9",
-      "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.25.9.tgz",
-      "integrity": "sha512-I853iMZ1hWZdNllhVZKm34f4wErd4lMyeV7BLzEExGEIZYsOzqDWDf+y082izYUE8gtJnYHdeDpN/6tUdwvfiw==",
+      "version": "0.25.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.25.10.tgz",
+      "integrity": "sha512-MiC9CWdPrfhibcXwr39p9ha1x0lZJ9KaVfvzA0Wxwz9ETX4v5CHfF09bx935nHlhi+MxhA63dKRRQLiVgSUtEg==",
       "cpu": [
         "x64"
       ],
@@ -84,9 +84,9 @@
       }
     },
     "node_modules/@esbuild/darwin-arm64": {
-      "version": "0.25.9",
-      "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.25.9.tgz",
-      "integrity": "sha512-XIpIDMAjOELi/9PB30vEbVMs3GV1v2zkkPnuyRRURbhqjyzIINwj+nbQATh4H9GxUgH1kFsEyQMxwiLFKUS6Rg==",
+      "version": "0.25.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.25.10.tgz",
+      "integrity": "sha512-JC74bdXcQEpW9KkV326WpZZjLguSZ3DfS8wrrvPMHgQOIEIG/sPXEN/V8IssoJhbefLRcRqw6RQH2NnpdprtMA==",
       "cpu": [
         "arm64"
       ],
@@ -101,9 +101,9 @@
       }
     },
     "node_modules/@esbuild/darwin-x64": {
-      "version": "0.25.9",
-      "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.25.9.tgz",
-      "integrity": "sha512-jhHfBzjYTA1IQu8VyrjCX4ApJDnH+ez+IYVEoJHeqJm9VhG9Dh2BYaJritkYK3vMaXrf7Ogr/0MQ8/MeIefsPQ==",
+      "version": "0.25.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.25.10.tgz",
+      "integrity": "sha512-tguWg1olF6DGqzws97pKZ8G2L7Ig1vjDmGTwcTuYHbuU6TTjJe5FXbgs5C1BBzHbJ2bo1m3WkQDbWO2PvamRcg==",
       "cpu": [
         "x64"
       ],
@@ -118,9 +118,9 @@
       }
     },
     "node_modules/@esbuild/freebsd-arm64": {
-      "version": "0.25.9",
-      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.25.9.tgz",
-      "integrity": "sha512-z93DmbnY6fX9+KdD4Ue/H6sYs+bhFQJNCPZsi4XWJoYblUqT06MQUdBCpcSfuiN72AbqeBFu5LVQTjfXDE2A6Q==",
+      "version": "0.25.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.25.10.tgz",
+      "integrity": "sha512-3ZioSQSg1HT2N05YxeJWYR+Libe3bREVSdWhEEgExWaDtyFbbXWb49QgPvFH8u03vUPX10JhJPcz7s9t9+boWg==",
       "cpu": [
         "arm64"
       ],
@@ -135,9 +135,9 @@
       }
     },
     "node_modules/@esbuild/freebsd-x64": {
-      "version": "0.25.9",
-      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.25.9.tgz",
-      "integrity": "sha512-mrKX6H/vOyo5v71YfXWJxLVxgy1kyt1MQaD8wZJgJfG4gq4DpQGpgTB74e5yBeQdyMTbgxp0YtNj7NuHN0PoZg==",
+      "version": "0.25.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.25.10.tgz",
+      "integrity": "sha512-LLgJfHJk014Aa4anGDbh8bmI5Lk+QidDmGzuC2D+vP7mv/GeSN+H39zOf7pN5N8p059FcOfs2bVlrRr4SK9WxA==",
       "cpu": [
         "x64"
       ],
@@ -152,9 +152,9 @@
       }
     },
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+        "@typescript-eslint/scope-manager": "8.44.1",
+        "@typescript-eslint/types": "8.44.1",
+        "@typescript-eslint/typescript-estree": "8.44.1",
+        "@typescript-eslint/visitor-keys": "8.44.1",
         "debug": "^4.3.4"
       },
       "engines": {
@@ -817,14 +803,14 @@
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     "node_modules/@typescript-eslint/project-service": {
-      "version": "8.40.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/project-service/-/project-service-8.40.0.tgz",
-      "integrity": "sha512-/A89vz7Wf5DEXsGVvcGdYKbVM9F7DyFXj52lNYUDS1L9yJfqjW/fIp5PgMuEJL/KeqVTe2QSbXAGUZljDUpArw==",
+      "version": "8.44.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/project-service/-/project-service-8.44.1.tgz",
+      "integrity": "sha512-ycSa60eGg8GWAkVsKV4E6Nz33h+HjTXbsDT4FILyL8Obk5/mx4tbvCNsLf9zret3ipSumAOG89UcCs/KRaKYrA==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@typescript-eslint/tsconfig-utils": "^8.40.0",
-        "@typescript-eslint/types": "^8.40.0",
+        "@typescript-eslint/tsconfig-utils": "^8.44.1",
+        "@typescript-eslint/types": "^8.44.1",
         "debug": "^4.3.4"
       },
       "engines": {
@@ -839,14 +825,14 @@
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     "node_modules/@typescript-eslint/scope-manager": {
-      "version": "8.40.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/scope-manager/-/scope-manager-8.40.0.tgz",
-      "integrity": "sha512-y9ObStCcdCiZKzwqsE8CcpyuVMwRouJbbSrNuThDpv16dFAj429IkM6LNb1dZ2m7hK5fHyzNcErZf7CEeKXR4w==",
+      "version": "8.44.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/scope-manager/-/scope-manager-8.44.1.tgz",
+      "integrity": "sha512-NdhWHgmynpSvyhchGLXh+w12OMT308Gm25JoRIyTZqEbApiBiQHD/8xgb6LqCWCFcxFtWwaVdFsLPQI3jvhywg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@typescript-eslint/types": "8.40.0",
-        "@typescript-eslint/visitor-keys": "8.40.0"
+        "@typescript-eslint/types": "8.44.1",
+        "@typescript-eslint/visitor-keys": "8.44.1"
       },
       "engines": {
         "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
@@ -857,9 +843,9 @@
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     "node_modules/@typescript-eslint/tsconfig-utils": {
-      "version": "8.40.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.40.0.tgz",
-      "integrity": "sha512-jtMytmUaG9d/9kqSl/W3E3xaWESo4hFDxAIHGVW/WKKtQhesnRIJSAJO6XckluuJ6KDB5woD1EiqknriCtAmcw==",
+      "version": "8.44.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.44.1.tgz",
+      "integrity": "sha512-B5OyACouEjuIvof3o86lRMvyDsFwZm+4fBOqFHccIctYgBjqR3qT39FBYGN87khcgf0ExpdCBeGKpKRhSFTjKQ==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -874,15 +860,15 @@
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     "node_modules/@typescript-eslint/type-utils": {
-      "version": "8.40.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/type-utils/-/type-utils-8.40.0.tgz",
-      "integrity": "sha512-eE60cK4KzAc6ZrzlJnflXdrMqOBaugeukWICO2rB0KNvwdIMaEaYiywwHMzA1qFpTxrLhN9Lp4E/00EgWcD3Ow==",
+      "version": "8.44.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/type-utils/-/type-utils-8.44.1.tgz",
+      "integrity": "sha512-KdEerZqHWXsRNKjF9NYswNISnFzXfXNDfPxoTh7tqohU/PRIbwTmsjGK6V9/RTYWau7NZvfo52lgVk+sJh0K3g==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@typescript-eslint/types": "8.40.0",
-        "@typescript-eslint/typescript-estree": "8.40.0",
-        "@typescript-eslint/utils": "8.40.0",
+        "@typescript-eslint/types": "8.44.1",
+        "@typescript-eslint/typescript-estree": "8.44.1",
+        "@typescript-eslint/utils": "8.44.1",
         "debug": "^4.3.4",
         "ts-api-utils": "^2.1.0"
       },
@@ -899,9 +885,9 @@
       }
     },
     "node_modules/@typescript-eslint/types": {
-      "version": "8.40.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/types/-/types-8.40.0.tgz",
-      "integrity": "sha512-ETdbFlgbAmXHyFPwqUIYrfc12ArvpBhEVgGAxVYSwli26dn8Ko+lIo4Su9vI9ykTZdJn+vJprs/0eZU0YMAEQg==",
+      "version": "8.44.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/types/-/types-8.44.1.tgz",
+      "integrity": "sha512-Lk7uj7y9uQUOEguiDIDLYLJOrYHQa7oBiURYVFqIpGxclAFQ78f6VUOM8lI2XEuNOKNB7XuvM2+2cMXAoq4ALQ==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -913,16 +899,16 @@
       }
     },
     "node_modules/@typescript-eslint/typescript-estree": {
-      "version": "8.40.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/typescript-estree/-/typescript-estree-8.40.0.tgz",
-      "integrity": "sha512-k1z9+GJReVVOkc1WfVKs1vBrR5MIKKbdAjDTPvIK3L8De6KbFfPFt6BKpdkdk7rZS2GtC/m6yI5MYX+UsuvVYQ==",
+      "version": "8.44.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/typescript-estree/-/typescript-estree-8.44.1.tgz",
+      "integrity": "sha512-qnQJ+mVa7szevdEyvfItbO5Vo+GfZ4/GZWWDRRLjrxYPkhM+6zYB2vRYwCsoJLzqFCdZT4mEqyJoyzkunsZ96A==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@typescript-eslint/project-service": "8.40.0",
-        "@typescript-eslint/tsconfig-utils": "8.40.0",
-        "@typescript-eslint/types": "8.40.0",
-        "@typescript-eslint/visitor-keys": "8.40.0",
+        "@typescript-eslint/project-service": "8.44.1",
+        "@typescript-eslint/tsconfig-utils": "8.44.1",
+        "@typescript-eslint/types": "8.44.1",
+        "@typescript-eslint/visitor-keys": "8.44.1",
         "debug": "^4.3.4",
         "fast-glob": "^3.3.2",
         "is-glob": "^4.0.3",
@@ -942,16 +928,16 @@
       }
     },
     "node_modules/@typescript-eslint/utils": {
-      "version": "8.40.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/utils/-/utils-8.40.0.tgz",
-      "integrity": "sha512-Cgzi2MXSZyAUOY+BFwGs17s7ad/7L+gKt6Y8rAVVWS+7o6wrjeFN4nVfTpbE25MNcxyJ+iYUXflbs2xR9h4UBg==",
+      "version": "8.44.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/utils/-/utils-8.44.1.tgz",
+      "integrity": "sha512-DpX5Fp6edTlocMCwA+mHY8Mra+pPjRZ0TfHkXI8QFelIKcbADQz1LUPNtzOFUriBB2UYqw4Pi9+xV4w9ZczHFg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
         "@eslint-community/eslint-utils": "^4.7.0",
-        "@typescript-eslint/scope-manager": "8.40.0",
-        "@typescript-eslint/types": "8.40.0",
-        "@typescript-eslint/typescript-estree": "8.40.0"
+        "@typescript-eslint/scope-manager": "8.44.1",
+        "@typescript-eslint/types": "8.44.1",
+        "@typescript-eslint/typescript-estree": "8.44.1"
       },
       "engines": {
         "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
@@ -966,13 +952,13 @@
       }
     },
     "node_modules/@typescript-eslint/visitor-keys": {
-      "version": "8.40.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/visitor-keys/-/visitor-keys-8.40.0.tgz",
-      "integrity": "sha512-8CZ47QwalyRjsypfwnbI3hKy5gJDPmrkLjkgMxhi0+DZZ2QNx2naS6/hWoVYUHU7LU2zleF68V9miaVZvhFfTA==",
+      "version": "8.44.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/visitor-keys/-/visitor-keys-8.44.1.tgz",
+      "integrity": "sha512-576+u0QD+Jp3tZzvfRfxon0EA2lzcDt3lhUbsC6Lgzy9x2VR4E+JUiNyGHi5T8vk0TV+fpJ5GLG1JsJuWCaKhw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@typescript-eslint/types": "8.40.0",
+        "@typescript-eslint/types": "8.44.1",
         "eslint-visitor-keys": "^4.2.1"
       },
       "engines": {
@@ -1159,9 +1145,9 @@
       }
     },
     "node_modules/debug": {
-      "version": "4.4.1",
-      "resolved": "https://registry.npmjs.org/debug/-/debug-4.4.1.tgz",
-      "integrity": "sha512-KcKCqiftBJcZr++7ykoDIEwSa3XWowTfNPo92BYxjXiyYEVrUQh2aLyhxBCwww+heortUFxEJYcRzosstTEBYQ==",
+      "version": "4.4.3",
+      "resolved": "https://registry.npmjs.org/debug/-/debug-4.4.3.tgz",
+      "integrity": "sha512-RGwwWnwQvkVfavKVt22FGLw+xYSdzARwm0ru6DhTVA3umU5hZc28V3kO4stgYryrTlLpuvgI9GiijltAjNbcqA==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -1184,9 +1170,9 @@
       "license": "MIT"
     },
     "node_modules/esbuild": {
-      "version": "0.25.9",
-      "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.25.9.tgz",
-      "integrity": "sha512-CRbODhYyQx3qp7ZEwzxOk4JBqmD/seJrzPa/cGjY1VtIn5E09Oi9/dB4JwctnfZ8Q8iT7rioVv5k/FNT/uf54g==",
+      "version": "0.25.10",
+      "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.25.10.tgz",
+      "integrity": "sha512-9RiGKvCwaqxO2owP61uQ4BgNborAQskMR6QusfWzQqv7AZOg5oGehdY2pRJMTKuwxd1IDBP4rSbI5lHzU7SMsQ==",
       "dev": true,
       "hasInstallScript": true,
       "license": "MIT",
@@ -1197,32 +1183,32 @@
         "node": ">=18"
       },
       "optionalDependencies": {
-        "@esbuild/aix-ppc64": "0.25.9",
-        "@esbuild/android-arm": "0.25.9",
-        "@esbuild/android-arm64": "0.25.9",
-        "@esbuild/android-x64": "0.25.9",
-        "@esbuild/darwin-arm64": "0.25.9",
-        "@esbuild/darwin-x64": "0.25.9",
-        "@esbuild/freebsd-arm64": "0.25.9",
-        "@esbuild/freebsd-x64": "0.25.9",
-        "@esbuild/linux-arm": "0.25.9",
-        "@esbuild/linux-arm64": "0.25.9",
-        "@esbuild/linux-ia32": "0.25.9",
-        "@esbuild/linux-loong64": "0.25.9",
-        "@esbuild/linux-mips64el": "0.25.9",
-        "@esbuild/linux-ppc64": "0.25.9",
-        "@esbuild/linux-riscv64": "0.25.9",
-        "@esbuild/linux-s390x": "0.25.9",
-        "@esbuild/linux-x64": "0.25.9",
-        "@esbuild/netbsd-arm64": "0.25.9",
-        "@esbuild/netbsd-x64": "0.25.9",
-        "@esbuild/openbsd-arm64": "0.25.9",
-        "@esbuild/openbsd-x64": "0.25.9",
-        "@esbuild/openharmony-arm64": "0.25.9",
-        "@esbuild/sunos-x64": "0.25.9",
-        "@esbuild/win32-arm64": "0.25.9",
-        "@esbuild/win32-ia32": "0.25.9",
-        "@esbuild/win32-x64": "0.25.9"
+        "@esbuild/aix-ppc64": "0.25.10",
+        "@esbuild/android-arm": "0.25.10",
+        "@esbuild/android-arm64": "0.25.10",
+        "@esbuild/android-x64": "0.25.10",
+        "@esbuild/darwin-arm64": "0.25.10",
+        "@esbuild/darwin-x64": "0.25.10",
+        "@esbuild/freebsd-arm64": "0.25.10",
+        "@esbuild/freebsd-x64": "0.25.10",
+        "@esbuild/linux-arm": "0.25.10",
+        "@esbuild/linux-arm64": "0.25.10",
+        "@esbuild/linux-ia32": "0.25.10",
+        "@esbuild/linux-loong64": "0.25.10",
+        "@esbuild/linux-mips64el": "0.25.10",
+        "@esbuild/linux-ppc64": "0.25.10",
+        "@esbuild/linux-riscv64": "0.25.10",
+        "@esbuild/linux-s390x": "0.25.10",
+        "@esbuild/linux-x64": "0.25.10",
+        "@esbuild/netbsd-arm64": "0.25.10",
+        "@esbuild/netbsd-x64": "0.25.10",
+        "@esbuild/openbsd-arm64": "0.25.10",
+        "@esbuild/openbsd-x64": "0.25.10",
+        "@esbuild/openharmony-arm64": "0.25.10",
+        "@esbuild/sunos-x64": "0.25.10",
+        "@esbuild/win32-arm64": "0.25.10",
+        "@esbuild/win32-ia32": "0.25.10",
+        "@esbuild/win32-x64": "0.25.10"
       }
     },
     "node_modules/escape-string-regexp": {
@@ -1239,19 +1225,19 @@
       }
     },
     "node_modules/eslint": {
-      "version": "9.34.0",
-      "resolved": "https://registry.npmjs.org/eslint/-/eslint-9.34.0.tgz",
-      "integrity": "sha512-RNCHRX5EwdrESy3Jc9o8ie8Bog+PeYvvSR8sDGoZxNFTvZ4dlxUB3WzQ3bQMztFrSRODGrLLj8g6OFuGY/aiQg==",
+      "version": "9.36.0",
+      "resolved": "https://registry.npmjs.org/eslint/-/eslint-9.36.0.tgz",
+      "integrity": "sha512-hB4FIzXovouYzwzECDcUkJ4OcfOEkXTv2zRY6B9bkwjx/cprAq0uvm1nl7zvQ0/TsUk0zQiN4uPfJpB9m+rPMQ==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@eslint-community/eslint-utils": "^4.2.0",
+        "@eslint-community/eslint-utils": "^4.8.0",
         "@eslint-community/regexpp": "^4.12.1",
         "@eslint/config-array": "^0.21.0",
         "@eslint/config-helpers": "^0.3.1",
         "@eslint/core": "^0.15.2",
         "@eslint/eslintrc": "^3.3.1",
-        "@eslint/js": "9.34.0",
+        "@eslint/js": "9.36.0",
         "@eslint/plugin-kit": "^0.3.5",
         "@humanfs/node": "^0.16.6",
         "@humanwhocodes/module-importer": "^1.0.1",
diff --git a/app/package.json b/app/package.json
index 33f9270c..5ae5c604 100644
--- a/app/package.json
+++ b/app/package.json
@@ -9,10 +9,10 @@
     "lint": "eslint --ext .ts ./ts --max-warnings=0 || true"
   },
   "devDependencies": {
-    "esbuild": "^0.25.9",
+    "esbuild": "^0.25.10",
     "typescript": "^5.9.2",
-    "eslint": "^9.34.0",
-    "@typescript-eslint/parser": "^8.40.0",
-    "@typescript-eslint/eslint-plugin": "^8.40.0"
+    "eslint": "^9.36.0",
+    "@typescript-eslint/parser": "^8.44.0",
+    "@typescript-eslint/eslint-plugin": "^8.44.0"
   }
 }
diff --git a/app/ts/modules/graphs.ts b/app/ts/modules/graphs.ts
index 7f1d10c0..23cabebf 100644
--- a/app/ts/modules/graphs.ts
+++ b/app/ts/modules/graphs.ts
@@ -83,7 +83,7 @@ export function loadGraphs() {
         data.forEach((graph) => {
           // Check if this graph is a demo database
           const generalPrefix = (window as any).generalPrefix;
-          const isDemo = generalPrefix && graph.startsWith(generalPrefix);
+          const isDemo = !!(generalPrefix && graph.startsWith(generalPrefix));
           
           addGraphOption(
             graph,
diff --git a/server.json b/server.json
index 8a516e58..93bcfd5f 100644
--- a/server.json
+++ b/server.json
@@ -1,19 +1,19 @@
 {
   "$schema": "https://static.modelcontextprotocol.io/schemas/2025-07-09/server.schema.json",
-  "name": "com.falkordb/queryweaver",
+  "name": "com.falkordb/QueryWeaver",
   "description": "An MCP server for Text2SQL: transforms natural language into SQL using graph schema understanding.",
   "status": "active",
   "repository": {
     "url": "https://github.com/FalkorDB/QueryWeaver",
     "source": "github"
   },
-  "version": "0.0.10",
+  "version": "0.0.11",
   "packages": [
     {
       "registry_type": "oci",
       "registry_base_url": "https://docker.io",
       "identifier": "falkordb/queryweaver",
-      "version": "0.0.10",
+      "version": "0.0.11",
       "transport": {
         "type": "streamable-http",
         "url": "https://localhost:5000/mcp"
diff --git a/wordlist.dic b/wordlist.dic
deleted file mode 100644
index 7c9188af..00000000
Binary files a/wordlist.dic and /dev/null differ