# How to integrate Slite MCP with Pydantic AI ```json { "title": "How to integrate Slite MCP with Pydantic AI", "toolkit": "Slite", "toolkit_slug": "slite", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/slite/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/slite/framework/pydantic-ai.md", "updated_at": "2026-03-29T06:50:56.164Z" } ``` ## Introduction This guide walks you through connecting Slite to Pydantic AI using the Composio tool router. By the end, you'll have a working Slite agent that can search all notes about onboarding process, create a new note in project channel, summarize recent updates from team docs through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Slite account through Composio's Slite MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Slite with - [OpenAI Agents SDK](https://composio.dev/toolkits/slite/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/slite/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/slite/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/slite/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/slite/framework/codex) - [OpenClaw](https://composio.dev/toolkits/slite/framework/openclaw) - [Hermes](https://composio.dev/toolkits/slite/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/slite/framework/cli) - [Google ADK](https://composio.dev/toolkits/slite/framework/google-adk) - [LangChain](https://composio.dev/toolkits/slite/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/slite/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/slite/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/slite/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/slite/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for Slite - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your Slite workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## What is the Slite MCP server, and what's possible with it? The Slite MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Slite account. It provides structured and secure access so your agent can perform Slite operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `SLITE_ASK_QUESTION` | Ask Question | Tool to ask a question to your Slite notes in natural language. Use when you need to query or search information across your notes. Supports optional filters to narrow results by parent note or specific assistant. | | `SLITE_CREATE_NOTE` | Create Note | Tool to create a note from markdown or HTML content with optional template. Use when you need to create a new note in Slite with specified content and title. | | `SLITE_DELETE_NOTE_BY_ID` | Delete Note By ID | Tool to permanently delete a note and all its children by ID. Use when you need to remove a note irreversibly. This operation cannot be undone. | | `SLITE_FLAG_NOTE_AS_OUTDATED` | Flag Note as Outdated | Tool to set Outdated status on a note with a reason. Use when you need to flag a note as containing outdated information. | | `SLITE_GET_AUTHENTICATED_USER` | Get authenticated user | Retrieves information about the currently authenticated user. Use this to get user details including email, display name, and organization information. | | `SLITE_GET_NOTE_BY_ID` | Get Note By ID | Tool to retrieve a complete note by its ID including content in Markdown or HTML format. Use when you need to fetch the full details and content of a specific note. | | `SLITE_GET_NOTE_CHILDREN` | Get Note Children | Tool to retrieve note children by parent note ID. Use when you need to fetch child notes beneath a specified parent note. Supports pagination for notes with more than 50 children using cursor-based navigation. | | `SLITE_LIST_NOTES` | List Notes | Tool to list notes from Slite with optional filtering by owner. Use when you need to retrieve notes, optionally filtered by a specific user. Supports cursor-based pagination via the cursor parameter. | | `SLITE_SEARCH_GROUPS` | Search Groups | Tool to search for groups by name in Slite. Use when you need to find groups matching a search query. Supports cursor-based pagination via the cursor parameter. | | `SLITE_SEARCH_NOTES` | Search Notes | Tool to search notes based on a query with optional filters. Use when you need to find notes by search term, parent note, review state, or other criteria. Supports pagination and archived note inclusion. | | `SLITE_SEARCH_USERS` | Search Users | Tool to search for users in Slite by email, name, or username. Use when you need to find users in the organization. | | `SLITE_UPDATE_NOTE` | Update Note | Tool to update a note's content with markdown and/or title. Use when you need to modify an existing note's content or metadata. | | `SLITE_UPDATE_NOTE_ARCHIVED_STATE` | Update Note Archived State | Tool to update the archived state of a note in Slite. Use when you need to archive or unarchive a note. | | `SLITE_UPDATE_NOTE_OWNER` | Update Note Owner | Tool to update the owner of a note. Use when you need to transfer note ownership to a user or group. Either userId or groupId must be provided. | | `SLITE_UPDATE_TILE_IN_NOTE` | Update Tile in Note | Tool to update or create a tile within a Slite note with structured header and markdown content. Use when you need to update tile information including title, status, content, icon, or external URL. | | `SLITE_VERIFY_NOTE` | Verify Note | Tool to set a note's verification status to Verified with optional expiration. Use when you need to mark a note as verified or update its verification expiration date. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Slite MCP server is an implementation of the Model Context Protocol that connects your AI agent to Slite. It provides structured and secure access so your agent can perform Slite operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before starting, make sure you have: - Python 3.9 or higher - A Composio account with an active API key - Basic familiarity with Python and async programming ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider. - Keep the API key safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies Install the required libraries. What's happening: - composio connects your agent to external SaaS tools like Slite - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Slite - MCPServerStreamableHTTP connects to the Slite MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Slite tools - The create method takes the user ID and specifies which toolkits should be available - The returned session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Slite composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["slite"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Slite endpoint - The agent uses GPT-5 to interpret user commands and perform Slite operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent slite_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[slite_mcp], instructions=( "You are a Slite assistant. Use Slite tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Slite API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Slite.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Slite composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["slite"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent slite_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[slite_mcp], instructions=( "You are a Slite assistant. Use Slite tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Slite.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with Slite through Composio's Tool Router. With this setup, your agent can perform real Slite actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Slite for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## How to build Slite MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/slite/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/slite/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/slite/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/slite/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/slite/framework/codex) - [OpenClaw](https://composio.dev/toolkits/slite/framework/openclaw) - [Hermes](https://composio.dev/toolkits/slite/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/slite/framework/cli) - [Google ADK](https://composio.dev/toolkits/slite/framework/google-adk) - [LangChain](https://composio.dev/toolkits/slite/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/slite/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/slite/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/slite/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/slite/framework/crew-ai) ## Related Toolkits - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze. - [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization. - [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [2chat](https://composio.dev/toolkits/_2chat) - 2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Slite MCP? With a standalone Slite MCP server, the agents and LLMs can only access a fixed set of Slite tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Slite and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Pydantic AI? Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Slite tools. ### Can I manage the permissions and scopes for Slite while using Tool Router? Yes, absolutely. You can configure which Slite scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do. ### How safe is my data with Composio Tool Router? All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Slite data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)