How to integrate Notion MCP with Autogen

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Introduction

This guide walks you through connecting Notion to AutoGen using the Composio tool router. By the end, you'll have a working Notion agent that can add meeting notes to project wiki page, create a new task database for q3, archive completed sprint summary pages, duplicate onboarding checklist for new hire through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Notion account through Composio's Notion MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Notion
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Notion tools
  • Run a live chat loop where you ask the agent to perform Notion operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

What is the Notion MCP server, and what's possible with it?

The Notion MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Notion account. It provides structured and secure access to your notes, docs, wikis, and tasks, so your agent can perform actions like creating pages, managing databases, adding content, commenting, and organizing your Notion workspace for you.

  • Bulk content creation and formatting: Let your agent efficiently add and format multiple blocks of text, lists, or markdown content to Notion pages in one go.
  • Automated page and database management: Have your agent create new pages, duplicate existing ones, or set up entire databases with custom properties—no manual setup required.
  • Smart commenting and collaboration: Enable your agent to add comments to pages or discussion threads, making real-time collaboration smoother.
  • Workspace organization and cleanup: Ask your agent to archive, delete, or restore pages and blocks, keeping your workspace tidy and up to date.
  • Deep block and structure retrieval: Direct your agent to fetch metadata, list child blocks, or dig into nested content for analysis, reporting, or workflow automation.

Supported Tools & Triggers

Tools
Triggers
Add multiple content blocks (bulk, user-friendly)Efficiently adds multiple standard content blocks to a notion page in a single api call with automatic markdown parsing.
Append complex blocks (advanced, full control)Appends complex blocks with full notion block structure to a parent block or page.
Archive Notion PageArchives (moves to trash) or unarchives (restores from trash) a specified notion page.
Create commentAdds a comment to a notion page (via `parent page id`) or to an existing discussion thread (via `discussion id`); cannot create new discussion threads on specific blocks (inline comments).
Create Notion DatabaseCreates a new notion database as a subpage under a specified parent page with a defined properties schema; use this action exclusively for creating new databases.
Create Notion pageCreates a new empty page in a notion workspace.
Delete a blockArchives a notion block, page, or database using its id, which sets its 'archived' property to true (like moving to "trash" in the ui) and allows it to be restored later.
Duplicate pageDuplicates a notion page, including all its content, properties, and nested blocks, under a specified parent page or workspace.
Fetch Notion Block ChildrenRetrieves a paginated list of direct, first-level child block objects along with contents for a given parent notion block or page id; use block ids from the response for subsequent calls to access deeply nested content.
Fetch Notion block metadataFetches metadata for a notion block (or page, as pages are blocks) using its valid uuid; if the block has children, use fetch block contents to fetch their contents.
Fetch commentsFetches unresolved comments for a specified notion block or page id.
Fetch Notion DataFetches notion items (pages and/or databases) from the notion workspace, use this to get minimal data about the items in the workspace with a query or list all items in the workspace with minimal data
Fetch DatabaseFetches a notion database's structural metadata (properties, title, etc.
Fetch database rowRetrieves a notion database row's properties and metadata; use fetch block contents for page content blocks.
Get About MeRetrieves the user object for the bot associated with the current notion integration token, typically to obtain the bot's user id for other api operations.
Get about userRetrieves detailed information about a specific notion user, such as their name, avatar, and email, based on their unique user id.
Get page propertyCall this to get a specific property from a notion page when you have a valid `page id` and `property id`; handles pagination for properties returning multiple items.
Insert row databaseCreates a new page (row) in a specified notion database.
List usersRetrieves a paginated list of users (excluding guests) from the notion workspace; the number of users returned per page may be less than the requested `page size`.
Query databaseQueries a notion database for pages (rows), where rows are pages and columns are properties; ensure sort property names correspond to existing database properties.
Retrieve CommentTool to retrieve a specific comment by its id.
Retrieve Database PropertyTool to retrieve a specific property object of a notion database.
Search Notion pageSearches notion pages and databases by title; an empty query lists all accessible items, useful for discovering ids or as a fallback when a specific query yields no results.
Update blockUpdates an existing notion block's textual content or type-specific properties (e.
Update PageTool to update the properties, icon, cover, or archive status of a page.
Update row databaseUpdates or archives an existing notion database row (page) using its `row id`, allowing modification of its icon, cover, and/or properties; ensure the target page is accessible and property details (names/ids and values) align with the database schema and specified formats.
Update database schemaUpdates an existing notion database's title, description, and/or properties; at least one of these attributes must be provided to effect a change.

What is the Composio tool router, and how does it fit here?

What is Tool Router?

Composio's Tool Router helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Tool Router

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Tool Router works

The Tool Router follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Notion account you can connect to Composio
  • Some basic familiarity with Autogen and Python async

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Notion via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Notion connections to use

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Notion session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["notion"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Notion tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Notion assistant agent with MCP tools
    agent = AssistantAgent(
        name="notion_assistant",
        description="An AI assistant that helps with Notion operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Notion tools from the workbench

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Notion related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Notion tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Notion and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Notion session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["notion"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Notion assistant agent with MCP tools
        agent = AssistantAgent(
            name="notion_assistant",
            description="An AI assistant that helps with Notion operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Notion related question or task to the agent.\n")

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Notion through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Notion, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

How to build Notion MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Notion MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Notion MCP with Claude Agent SDK

Google ADK

Google ADK

Use Notion MCP with Google ADK

LangChain

LangChain

Use Notion MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Notion MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Notion MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Notion MCP with LlamaIndex

CrewAI

CrewAI

Use Notion MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Notion MCP?

With a standalone Notion MCP server, the agents and LLMs can only access a fixed set of Notion tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Notion and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with Autogen?

Yes, you can. Autogen 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 Notion tools.

Can I manage the permissions and scopes for Notion while using Tool Router?

Yes, absolutely. You can configure which Notion 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 Notion data and credentials are handled as safely as possible.

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