From 48ca46985da7d4c9f3e41ab2c95c01d8b935c19f Mon Sep 17 00:00:00 2001 From: willtkenney <49669262+willtkenney@users.noreply.github.com> Date: Sat, 14 Mar 2026 10:16:37 -0400 Subject: [PATCH 1/8] Add turbopuffer MCP server to registry --- partners/servers/turbopuffer-mcp-server.json | 53 ++++++++++++++++++++ 1 file changed, 53 insertions(+) create mode 100644 partners/servers/turbopuffer-mcp-server.json diff --git a/partners/servers/turbopuffer-mcp-server.json b/partners/servers/turbopuffer-mcp-server.json new file mode 100644 index 00000000..fad913cb --- /dev/null +++ b/partners/servers/turbopuffer-mcp-server.json @@ -0,0 +1,53 @@ +{ + "name": "turbopuffer-mcp-server", + "title": "turbopuffer", + "summary": "Connect to turbopuffer for serverless vector and full-text search over your data.", + "description": "The turbopuffer MCP server connects AI agents to turbopuffer, a serverless search engine built on object storage. Query namespaces using vector similarity search, BM25 full-text search, hybrid search, and attribute filtering. Upsert, delete, and manage documents across namespaces. Fast, 10x cheaper, and extremely scalable.", + "kind": "mcp", + "packages": [], + "icon": "https://avatars.githubusercontent.com/turbopuffer?s=64", + "license": { + "name": "turbopuffer Terms of Service", + "url": "https://turbopuffer.com/terms" + }, + "useCases": [ + { + "name": "Semantic Search", + "description": "Query your data using vector similarity, BM25 full-text search, or hybrid search with attribute filtering to find the most relevant documents." + }, + { + "name": "Data Management", + "description": "Upsert, delete, and manage documents stored in turbopuffer namespaces directly from AI agent workflows." + }, + { + "name": "RAG Pipelines", + "description": "Build retrieval-augmented generation pipelines by connecting AI agents to turbopuffer for context retrieval over large document collections." + } + ], + "externalDocumentation": { + "title": "turbopuffer Documentation", + "url": "https://turbopuffer.com/docs" + }, + "tags": ["search", "embeddings", "rag", "full-text-search", "vector-search", "hybrid-search"], + "vendor": "Partner", + "categories": "Databases", + "visibility": "true", + "remote": "https://turbopuffer.stlmcp.com/", + "remoteType": "streamable-http", + "versionName": "original", + "securitySchemes": { + "apiKeyAuth": { + "type": "apiKey", + "description": "Authenticate with your turbopuffer API key.", + "in": "header", + "name": "Authorization" + } + }, + "supportContactInfo": { + "name": "turbopuffer Support", + "url": "https://turbopuffer.com/contact/support" + }, + "customProperties": { + "x-ms-preview": false + } +} From 74e9a34f8c29019b1dc91e57e05ac5304cce9566 Mon Sep 17 00:00:00 2001 From: willtkenney <49669262+willtkenney@users.noreply.github.com> Date: Sat, 14 Mar 2026 10:17:54 -0400 Subject: [PATCH 2/8] Set x-ms-preview to true (beta) --- partners/servers/turbopuffer-mcp-server.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/partners/servers/turbopuffer-mcp-server.json b/partners/servers/turbopuffer-mcp-server.json index fad913cb..b5f2af9a 100644 --- a/partners/servers/turbopuffer-mcp-server.json +++ b/partners/servers/turbopuffer-mcp-server.json @@ -48,6 +48,6 @@ "url": "https://turbopuffer.com/contact/support" }, "customProperties": { - "x-ms-preview": false + "x-ms-preview": true } } From cb4b325b4ade40a24cd5b4798e40974a506c317e Mon Sep 17 00:00:00 2001 From: Will Kenney <49669262+willtkenney@users.noreply.github.com> Date: Sat, 14 Mar 2026 10:26:12 -0400 Subject: [PATCH 3/8] Clarify description for turbopuffer MCP server Updated the description to clarify the connection of AI tools to turbopuffer. --- partners/servers/turbopuffer-mcp-server.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/partners/servers/turbopuffer-mcp-server.json b/partners/servers/turbopuffer-mcp-server.json index b5f2af9a..469da5db 100644 --- a/partners/servers/turbopuffer-mcp-server.json +++ b/partners/servers/turbopuffer-mcp-server.json @@ -2,7 +2,7 @@ "name": "turbopuffer-mcp-server", "title": "turbopuffer", "summary": "Connect to turbopuffer for serverless vector and full-text search over your data.", - "description": "The turbopuffer MCP server connects AI agents to turbopuffer, a serverless search engine built on object storage. Query namespaces using vector similarity search, BM25 full-text search, hybrid search, and attribute filtering. Upsert, delete, and manage documents across namespaces. Fast, 10x cheaper, and extremely scalable.", + "description": "The turbopuffer MCP server connects AI tools to turbopuffer, a serverless search engine built on object storage. Query namespaces using vector similarity search, BM25 full-text search, hybrid search, and attribute filtering. Upsert, delete, and manage documents across namespaces. Fast, 10x cheaper, and extremely scalable.", "kind": "mcp", "packages": [], "icon": "https://avatars.githubusercontent.com/turbopuffer?s=64", From f4ccee2d34fe799e2959a90054f2716f1aa64ca3 Mon Sep 17 00:00:00 2001 From: willtkenney <49669262+willtkenney@users.noreply.github.com> Date: Sat, 14 Mar 2026 10:28:01 -0400 Subject: [PATCH 4/8] Update use cases: search infrastructure, RAG, retrieval --- partners/servers/turbopuffer-mcp-server.json | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/partners/servers/turbopuffer-mcp-server.json b/partners/servers/turbopuffer-mcp-server.json index 469da5db..a27bd61b 100644 --- a/partners/servers/turbopuffer-mcp-server.json +++ b/partners/servers/turbopuffer-mcp-server.json @@ -12,16 +12,16 @@ }, "useCases": [ { - "name": "Semantic Search", - "description": "Query your data using vector similarity, BM25 full-text search, or hybrid search with attribute filtering to find the most relevant documents." + "name": "Search Infrastructure", + "description": "Power semantic search, BM25 full-text search, and hybrid search over billions of documents with sub-10ms cached latency, backed by object storage for cost-efficient scaling." }, { - "name": "Data Management", - "description": "Upsert, delete, and manage documents stored in turbopuffer namespaces directly from AI agent workflows." + "name": "RAG Pipelines", + "description": "Build retrieval-augmented generation pipelines by connecting AI agents to turbopuffer for fast, scalable context retrieval over large document collections." }, { - "name": "RAG Pipelines", - "description": "Build retrieval-augmented generation pipelines by connecting AI agents to turbopuffer for context retrieval over large document collections." + "name": "Retrieval", + "description": "Efficiently narrow millions of documents down to tens or hundreds for downstream processing, reranking, or generation using vector similarity and attribute filtering." } ], "externalDocumentation": { From 1be06971d260271692005f3e69b2f078f7c304cf Mon Sep 17 00:00:00 2001 From: willtkenney <49669262+willtkenney@users.noreply.github.com> Date: Sat, 14 Mar 2026 10:28:39 -0400 Subject: [PATCH 5/8] Add vector-database tag --- partners/servers/turbopuffer-mcp-server.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/partners/servers/turbopuffer-mcp-server.json b/partners/servers/turbopuffer-mcp-server.json index a27bd61b..c4cea3d1 100644 --- a/partners/servers/turbopuffer-mcp-server.json +++ b/partners/servers/turbopuffer-mcp-server.json @@ -2,7 +2,7 @@ "name": "turbopuffer-mcp-server", "title": "turbopuffer", "summary": "Connect to turbopuffer for serverless vector and full-text search over your data.", - "description": "The turbopuffer MCP server connects AI tools to turbopuffer, a serverless search engine built on object storage. Query namespaces using vector similarity search, BM25 full-text search, hybrid search, and attribute filtering. Upsert, delete, and manage documents across namespaces. Fast, 10x cheaper, and extremely scalable.", + "description": "The turbopuffer MCP server connects AI agents to turbopuffer, a serverless search engine built on object storage. Query namespaces using vector similarity search, BM25 full-text search, hybrid search, and attribute filtering. Upsert, delete, and manage documents across namespaces. Fast, 10x cheaper, and extremely scalable.", "kind": "mcp", "packages": [], "icon": "https://avatars.githubusercontent.com/turbopuffer?s=64", @@ -28,7 +28,7 @@ "title": "turbopuffer Documentation", "url": "https://turbopuffer.com/docs" }, - "tags": ["search", "embeddings", "rag", "full-text-search", "vector-search", "hybrid-search"], + "tags": ["search", "embeddings", "rag", "full-text-search", "vector-search", "hybrid-search", "vector-database"], "vendor": "Partner", "categories": "Databases", "visibility": "true", From c5a077ad722357c5d9ca6fb9c6a6ec9807f6e02f Mon Sep 17 00:00:00 2001 From: Will Kenney <49669262+willtkenney@users.noreply.github.com> Date: Mon, 16 Mar 2026 14:46:47 -0400 Subject: [PATCH 6/8] Update summary and icon URL --- partners/servers/turbopuffer-mcp-server.json | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/partners/servers/turbopuffer-mcp-server.json b/partners/servers/turbopuffer-mcp-server.json index c4cea3d1..dbd531b9 100644 --- a/partners/servers/turbopuffer-mcp-server.json +++ b/partners/servers/turbopuffer-mcp-server.json @@ -1,11 +1,11 @@ { "name": "turbopuffer-mcp-server", "title": "turbopuffer", - "summary": "Connect to turbopuffer for serverless vector and full-text search over your data.", + "summary": "Connect to turbopuffer for fast, scalable vector and full-text search over your data \u2014 serverless, built on object storage, and 10x cheaper.", "description": "The turbopuffer MCP server connects AI agents to turbopuffer, a serverless search engine built on object storage. Query namespaces using vector similarity search, BM25 full-text search, hybrid search, and attribute filtering. Upsert, delete, and manage documents across namespaces. Fast, 10x cheaper, and extremely scalable.", "kind": "mcp", "packages": [], - "icon": "https://avatars.githubusercontent.com/turbopuffer?s=64", + "icon": "https://turbopuffer.com/_next/static/media/logo_header_darkbg.435dd040.svg", "license": { "name": "turbopuffer Terms of Service", "url": "https://turbopuffer.com/terms" @@ -28,7 +28,15 @@ "title": "turbopuffer Documentation", "url": "https://turbopuffer.com/docs" }, - "tags": ["search", "embeddings", "rag", "full-text-search", "vector-search", "hybrid-search", "vector-database"], + "tags": [ + "search", + "embeddings", + "rag", + "full-text-search", + "vector-search", + "hybrid-search", + "vector-database" + ], "vendor": "Partner", "categories": "Databases", "visibility": "true", From fa467ff5dae90a2ea6af8adfdbf4c3b362606276 Mon Sep 17 00:00:00 2001 From: Will Kenney <49669262+willtkenney@users.noreply.github.com> Date: Mon, 16 Mar 2026 15:02:16 -0400 Subject: [PATCH 7/8] Update description and use cases --- partners/servers/turbopuffer-mcp-server.json | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/partners/servers/turbopuffer-mcp-server.json b/partners/servers/turbopuffer-mcp-server.json index dbd531b9..9e9210c5 100644 --- a/partners/servers/turbopuffer-mcp-server.json +++ b/partners/servers/turbopuffer-mcp-server.json @@ -2,7 +2,7 @@ "name": "turbopuffer-mcp-server", "title": "turbopuffer", "summary": "Connect to turbopuffer for fast, scalable vector and full-text search over your data \u2014 serverless, built on object storage, and 10x cheaper.", - "description": "The turbopuffer MCP server connects AI agents to turbopuffer, a serverless search engine built on object storage. Query namespaces using vector similarity search, BM25 full-text search, hybrid search, and attribute filtering. Upsert, delete, and manage documents across namespaces. Fast, 10x cheaper, and extremely scalable.", + "description": "Lets AI query and manage data in turbopuffer, a serverless search engine built on object storage. Supports vector similarity search, BM25 full-text search, hybrid search, and attribute filtering across namespaces.", "kind": "mcp", "packages": [], "icon": "https://turbopuffer.com/_next/static/media/logo_header_darkbg.435dd040.svg", @@ -12,16 +12,16 @@ }, "useCases": [ { - "name": "Search Infrastructure", - "description": "Power semantic search, BM25 full-text search, and hybrid search over billions of documents with sub-10ms cached latency, backed by object storage for cost-efficient scaling." + "name": "Search and retrieval", + "description": "Perform vector, full-text, and hybrid searches across namespaces and return ranked results for developer and agentic workflows." }, { - "name": "RAG Pipelines", - "description": "Build retrieval-augmented generation pipelines by connecting AI agents to turbopuffer for fast, scalable context retrieval over large document collections." + "name": "Context-aware generation", + "description": "Give AI agents fast, scalable access to your data for retrieval-augmented generation without managing infrastructure." }, { - "name": "Retrieval", - "description": "Efficiently narrow millions of documents down to tens or hundreds for downstream processing, reranking, or generation using vector similarity and attribute filtering." + "name": "Data ingestion and management", + "description": "Upsert, update, and delete documents across namespaces to keep your search index current from within agentic workflows." } ], "externalDocumentation": { From 34eeb8b3e732d07b754aa5efe19723dbd31acebb Mon Sep 17 00:00:00 2001 From: Will Kenney <49669262+willtkenney@users.noreply.github.com> Date: Mon, 16 Mar 2026 15:06:53 -0400 Subject: [PATCH 8/8] Update description --- partners/servers/turbopuffer-mcp-server.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/partners/servers/turbopuffer-mcp-server.json b/partners/servers/turbopuffer-mcp-server.json index 9e9210c5..0d0c4926 100644 --- a/partners/servers/turbopuffer-mcp-server.json +++ b/partners/servers/turbopuffer-mcp-server.json @@ -2,7 +2,7 @@ "name": "turbopuffer-mcp-server", "title": "turbopuffer", "summary": "Connect to turbopuffer for fast, scalable vector and full-text search over your data \u2014 serverless, built on object storage, and 10x cheaper.", - "description": "Lets AI query and manage data in turbopuffer, a serverless search engine built on object storage. Supports vector similarity search, BM25 full-text search, hybrid search, and attribute filtering across namespaces.", + "description": "Perform vector, full-text, and hybrid search over your data with turbopuffer, a serverless search engine built on object storage.", "kind": "mcp", "packages": [], "icon": "https://turbopuffer.com/_next/static/media/logo_header_darkbg.435dd040.svg",