docs: Add Scalekit tool integration for AgentKit connectors

src/oss/python/integrations/tools/index.mdx

@@ -85,6 +85,7 @@ The following platforms provide access to multiple tools and services through a
 | Tool/Toolkit | Number of Integrations | Pricing | Key Features |
 |-------------|----------------------|---------|--------------|
 | [Composio](/oss/integrations/tools/composio) | 500+ | Free tier available | OAuth handling, event-driven workflows, multi-user support |
+| [Scalekit](/oss/integrations/tools/scalekit) | 80+ | Free tier available | Delegated OAuth, token vault, multi-user support, LangSmith tracing |
 
 ## All tools and toolkits
 
@@ -151,6 +152,8 @@ The following platforms provide access to multiple tools and services through a
 <Card title="Python REPL" icon="link" href="/oss/integrations/tools/python" arrow="true" cta="View guide" />
 <Card title="Robocorp Toolkit" icon="link" href="/oss/integrations/tools/robocorp" arrow="true" cta="View guide" />
 <Card title="Salesforce" icon="link" href="/oss/integrations/tools/salesforce" arrow="true" cta="View guide" />
+<Card title="Scalekit" icon="/images/providers/scalekit-icon.svg" href="/oss/integrations/tools/scalekit" arrow="true" cta="View guide" />
+<Card title="SceneXplain" icon="link" href="/oss/integrations/tools/sceneXplain" arrow="true" cta="View guide" />
 <Card title="ScraperAPI" icon="link" href="/oss/integrations/tools/scraperapi" arrow="true" cta="View guide" />
 <Card title="ScrapeGraph" icon="link" href="/oss/integrations/tools/scrapegraph" arrow="true" cta="View guide" />
 <Card title="Scrapeless Crawl" icon="link" href="/oss/integrations/tools/scrapeless_crawl" arrow="true" cta="View guide" />

src/oss/python/integrations/tools/scalekit.mdx

@@ -0,0 +1,228 @@
+---
+title: "Scalekit integration"
+description: "Integrate with 80+ prebuilt OAuth connectors through Scalekit AgentKit using LangChain Python."
+---
+
+[Scalekit](https://scalekit.com) AgentKit is an integration platform that provides 80+ prebuilt OAuth connectors for services like Gmail, Slack, GitHub, Salesforce, and more. It gives AI agents authenticated access to external tools through delegated OAuth, a managed token vault, and a native LangChain adapter that returns `StructuredTool` objects.
+
+## Overview
+
+### Integration details
+
+| Class | Package | Serializable | JS support | Version |
+|:---|:---|:---:|:---:|:---:|
+| ScalekitClient | [`scalekit-sdk-python`](https://pypi.org/project/scalekit-sdk-python/) | ❌ | ❌ | ![PyPI - Version](https://img.shields.io/pypi/v/scalekit-sdk-python?style=flat-square&label=%20) |
+
+### Tool features
+
+- **80+ prebuilt connectors**: Gmail, Slack, GitHub, Salesforce, Jira, HubSpot, Linear, Notion, and more
+- **Delegated OAuth**: Scalekit manages the full OAuth flow, token refresh, and credential storage
+- **Multi-user support**: Scope tools per user via the `identifier` parameter
+- **Connector filtering**: Load tools by `connection_names`, `tool_names`, or `providers`
+- **LangSmith compatible**: Works with [LangSmith](/langsmith/home) tracing out of the box
+
+## Setup
+
+The integration lives in the `scalekit-sdk-python` package. The LangChain adapter is included and lazy-loaded when you access `actions.langchain`.
+
+<CodeGroup>
+```python pip
+pip install -U scalekit-sdk-python langchain
+```
+```python uv
+uv add scalekit-sdk-python langchain
+```
+</CodeGroup>
+
+### Credentials
+
+You need Scalekit API credentials. Sign up at [app.scalekit.com](https://app.scalekit.com) and find your credentials under **Settings** and **API Credentials**.
+
+```python Set credentials icon="key"
+import getpass
+import os
+
+if not os.environ.get("SCALEKIT_ENVIRONMENT_URL"):
+    os.environ["SCALEKIT_ENVIRONMENT_URL"] = getpass.getpass("Enter your Scalekit environment URL: ")
+
+if not os.environ.get("SCALEKIT_CLIENT_ID"):
+    os.environ["SCALEKIT_CLIENT_ID"] = getpass.getpass("Enter your Scalekit client ID: ")
+
+if not os.environ.get("SCALEKIT_CLIENT_SECRET"):
+    os.environ["SCALEKIT_CLIENT_SECRET"] = getpass.getpass("Enter your Scalekit client secret: ")
+```
+
+It's also helpful to set up [LangSmith](/langsmith/home) for tracing:
+
+```python Enable tracing icon="flask"
+# os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")
+# os.environ["LANGSMITH_TRACING"] = "true"
+```
+
+## Instantiation
+
+Initialize `ScalekitClient` and load tools via `actions.langchain.get_tools()`. Each tool is a native LangChain `StructuredTool` with name, description, and input schema populated from the connector definition.
+
+```python Initialize Scalekit icon="robot"
+import scalekit.client
+
+client = scalekit.client.ScalekitClient(
+    env_url=os.environ["SCALEKIT_ENVIRONMENT_URL"],
+    client_id=os.environ["SCALEKIT_CLIENT_ID"],
+    client_secret=os.environ["SCALEKIT_CLIENT_SECRET"],
+)
+
+# Load Gmail tools for a specific user
+tools = client.actions.langchain.get_tools(
+    identifier="user_123",
+    connection_names=["gmail"],
+)
+
+print(f"Loaded {len(tools)} tools")
+```
+
+### Filter tools
+
+You can filter tools by connector, tool name, or provider:
+
+```python Filter tools icon="filter"
+# Load tools from multiple connectors
+tools = client.actions.langchain.get_tools(
+    identifier="user_123",
+    connection_names=["gmail", "slack"],
+)
+
+# Load specific tools by name
+tools = client.actions.langchain.get_tools(
+    identifier="user_123",
+    tool_names=["gmail_fetch_mails", "gmail_send_email"],
+)
+
+# Load all tools for a user (across all active connectors)
+all_tools = client.actions.langchain.get_tools(
+    identifier="user_123",
+)
+```
+
+## Invocation
+
+### Directly
+
+```python Call tool icon="rocket"
+tool = tools[0]
+tool.invoke({"max_results": 5})
+```
+
+### As a ToolCall
+
+Invoke the tool with a model-generated `ToolCall`, in which case a @[`ToolMessage`] will be returned:
+
+```python ToolCall icon="briefcase"
+# This is usually generated by a model, but we'll create a tool call directly for demo purposes.
+model_generated_tool_call = {
+    "args": {"max_results": 5},
+    "id": "1",
+    "name": tool.name,
+    "type": "tool_call",
+}
+tool.invoke(model_generated_tool_call)
+```
+
+### Within an agent
+
+Use Scalekit tools in an agent. For this you need a model with tool-calling capabilities.
+
+```python Agent with Scalekit tools icon="robot"
+# pip install -qU "langchain[openai]" to call the model
+from langchain.agents import create_agent
+
+agent = create_agent(
+    model="claude-sonnet-4-6",
+    tools=tools,
+)
+
+# Run the agent
+agent.invoke(
+    {"messages": [{"role": "user", "content": "Fetch my last 5 unread emails and summarize them"}]}
+)
+```
+
+## Authentication setup
+
+Before loading tools, users must connect their accounts through OAuth. Scalekit manages the full OAuth flow:
+
+```python Connect a user account icon="key"
+# Check if user already has an active Gmail connection
+response = client.actions.get_or_create_connected_account(
+    connection_name="gmail",
+    identifier="user_123",
+)
+
+if response.connected_account.status != "ACTIVE":
+    # Get an authorization link for the user to complete OAuth
+    link = client.actions.get_authorization_link(
+        connection_name="gmail",
+        identifier="user_123",
+    )
+    print(f"Authorize Gmail: {link.link}")
+```
+
+See [Authorize a user](https://docs.scalekit.com/agentkit/tools/authorize/) for production authorization handling.
+
+## Multi-user scenarios
+
+Scalekit supports multi-user applications. Each user authenticates their own accounts, and tools are scoped per user via the `identifier` parameter:
+
+```python Multi-user tools icon="users"
+# Each user gets tools scoped to their own connected accounts
+tools_user_1 = client.actions.langchain.get_tools(
+    identifier="user_1",
+    connection_names=["gmail"],
+)
+
+tools_user_2 = client.actions.langchain.get_tools(
+    identifier="user_2",
+    connection_names=["gmail"],
+)
+
+# User 1's agent acts on User 1's Gmail account
+agent_1 = create_agent(model="claude-sonnet-4-6", tools=tools_user_1)
+
+# User 2's agent acts on User 2's Gmail account
+agent_2 = create_agent(model="claude-sonnet-4-6", tools=tools_user_2)
+```
+
+## Use MCP instead
+
+LangChain also supports Scalekit via MCP using `langchain-mcp-adapters`. Scalekit can generate per-user MCP URLs that provide authenticated tool access through the Model Context Protocol.
+
+See [Generate user MCP URLs](https://docs.scalekit.com/agentkit/mcp/generate-user-urls/) for details.
+
+## Available connectors
+
+Scalekit provides 80+ prebuilt OAuth connectors:
+
+**Productivity**: Gmail, Google Calendar, Google Drive, Google Docs, Google Sheets, Notion, Confluence, Trello, Asana, ClickUp, Monday, Airtable
+
+**Communication**: Slack, Microsoft Teams, Discord, Zoom, Outlook
+
+**Development**: GitHub, GitLab, Bitbucket, Linear, Jira, Vercel, PagerDuty
+
+**CRM and Sales**: Salesforce, HubSpot, Pipedrive, Close, Outreach, Apollo, Attio, Affinity
+
+**Finance**: QuickBooks, Xero
+
+**Analytics and Data**: BigQuery, Snowflake, Datadog, Tableau, PostHog
+
+**Support**: Zendesk, Freshdesk, Intercom, ServiceNow
+
+**And more...**
+
+See the [full connector catalog](https://docs.scalekit.com/agentkit/connectors/) for the complete list.
+
+## API reference
+
+For detailed documentation of all Scalekit AgentKit features and configurations, visit:
+- [AgentKit overview](https://docs.scalekit.com/agentkit/overview/)
+- [LangChain example](https://docs.scalekit.com/agentkit/examples/langchain/)
+- [Connectors reference](https://docs.scalekit.com/agentkit/connectors/)