How to integrate Notion MCP with CrewAI

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Introduction

This guide walks you through connecting Notion to CrewAI 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 through natural language commands.

This guide will help you understand how to give your CrewAI 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.

Also integrate Notion with

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Notion connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Notion
  • Build a conversational loop where your agent can execute Notion operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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)Bulk-add content blocks to Notion.
Append code blocks (code, quote, equation)Append code and technical blocks (code, quote, equation) to a Notion page.
Append layout blocks (divider, TOC, columns)Append layout blocks (divider, TOC, breadcrumb, columns) to a Notion page.
Append media blocks (image, video, audio, files)Append media blocks (image, video, audio, file, pdf, embed, bookmark) to a Notion page.
Append table blocksAppend table blocks to a Notion page.
Append task blocks (to-do, toggle, callout)Append task blocks (to-do, toggle, callout) to a Notion page or block.
Append text blocks (paragraphs, headings, lists)Append text blocks (paragraphs, headings, lists) to a Notion 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.
Create Notion file uploadTool to create a Notion FileUpload object and retrieve an upload URL.
Create Notion pageCreates a new page in a Notion workspace under a specified parent page or database.
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 All Notion Block ContentsTool to fetch all child blocks for a given Notion block.
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 (including pages, which are special blocks) using its UUID.
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 userRetrieves detailed information about a specific Notion user, such as their name, avatar, and email, based on their unique user ID.
Get page markdownRetrieve a Notion page's full content rendered as Notion-flavored Markdown in a single API call.
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.
Insert Row From Natural LanguageCreates a new row (page) in a Notion database from a natural language description.
List data source templatesTool to list all templates for a Notion data source.
List Notion file uploadsTool to retrieve file uploads for the current bot integration, sorted by most recent first.
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`.
Move PageTool to move a Notion page to a new parent (page or database).
Query databaseQueries a Notion database to retrieve pages (rows).
Query database with filterTool to query a Notion database with server-side filtering, sorting, and pagination.
Query data sourceTool to query a Notion data source.
Replace page content (with backup)Safely replaces a page's child blocks by optionally backing up current content, deleting existing children, then appending new children in batches.
Retrieve CommentTool to retrieve a specific comment by its ID.
Retrieve Database PropertyTool to retrieve a specific property object of a Notion database.
Retrieve Notion file uploadTool to retrieve details of a Notion File Upload object by its identifier.
Retrieve pageRetrieve a Notion page's properties/metadata (not block content) by page_id.
Search Notion pages and databasesSearches Notion pages and databases by title.
Send file uploadTool to transmit file contents to Notion for a file upload object.
Update blockUpdates existing Notion block's text content.
Update PageUpdate page properties, icon, cover, or archive status.
Update Database Row (Page)Updates a specific row/page within a Notion database by its page UUID (row_id).
Update database schemaUpdates an existing Notion database's schema including title, description, and/or properties (columns).
Upsert database rowsTool to upsert rows in a Notion database by querying for existing rows and creating or updating them.

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

What is Composio SDK?

Composio's Composio SDK 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 Composio SDK

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

How the Composio SDK works

The Composio SDK 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

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Notion connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python

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 crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Notion via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Notion MCP URL

Create a Composio Tool Router session for Notion

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["notion"])

url = session.mcp.url
What's happening:
  • You create a Notion only session through Composio
  • Composio returns an MCP HTTP URL that exposes Notion tools

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

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

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["notion"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Notion through Composio's Tool Router. The agent can perform Notion operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations

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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 CrewAI?

Yes, you can. CrewAI 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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