How to integrate Todoist MCP with Autogen

This guide walks you through connecting Todoist to AutoGen using the Composio tool router. By the end, you'll have a working Todoist agent that can add a high-priority task for today, create a new project called 'team offsite', close all completed tasks from this week through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Todoist account through Composio's Todoist MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Todoist is a task management app for to-do lists, projects, and reminders. Stay organized and on track with easy deadlines, collaboration, and cross-platform syncing.

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Introduction

This guide walks you through connecting Todoist to AutoGen using the Composio tool router. By the end, you'll have a working Todoist agent that can add a high-priority task for today, create a new project called 'team offsite', close all completed tasks from this week through natural language commands.

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

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

Also integrate Todoist with

ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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 Todoist
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Todoist tools
  • Run a live chat loop where you ask the agent to perform Todoist 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 Todoist MCP server, and what's possible with it?

The Todoist MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Todoist account. It provides structured and secure access to your tasks, projects, and labels, so your agent can create tasks, manage projects, add comments, organize sections, and update your to-do lists on your behalf.

  • Task creation and scheduling: Instantly ask your agent to add new tasks with specific details, deadlines, priorities, or even as subtasks within projects or sections.
  • Project and workspace management: Let your agent create, organize, or delete projects and workspaces to keep your productivity system tidy and up-to-date.
  • Section and label organization: Direct your agent to create, delete, or update sections and labels, helping you structure your tasks and filter lists for better focus.
  • Task completion and commenting: Have your agent mark tasks as complete or add helpful comments and notes to specific tasks or projects for seamless collaboration.
  • Streamlined cleanup and maintenance: Empower your agent to remove unused projects, labels, or sections, ensuring your Todoist stays clutter-free and organized.

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

Step by step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Todoist account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

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.
3

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 Todoist via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

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 Todoist connections to use
5

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 Todoist session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["todoist"]
    )
    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 Todoist tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

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
7

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 Todoist assistant agent with MCP tools
    agent = AssistantAgent(
        name="todoist_assistant",
        description="An AI assistant that helps with Todoist 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 Todoist tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Todoist 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 Todoist 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 Todoist 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 Todoist session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["todoist"]
    )
    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 Todoist assistant agent with MCP tools
        agent = AssistantAgent(
            name="todoist_assistant",
            description="An AI assistant that helps with Todoist 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 Todoist 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 Todoist 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 Todoist, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS & TRIGGERS

Supported Tools and Triggers

Every Todoist action and event your agent gets out of the box.

Add Workspace

Tool to create a new workspace in Todoist.

Archive Project (API v1)

Tool to archive a project using Todoist API v1.

Bulk Create Tasks

Create many tasks in one request using Todoist's Sync batching.

Close Task (API v1)

Tool to close (complete) a task in Todoist using API v1.

Create Comment (API v1)

Tool to create a new comment on a project or task using Todoist API v1.

Create Label (API v1)

Tool to create a new personal label using API v1.

Create Project (API v1)

Tool to create a new project in Todoist using the unified API v1.

Create Section (API v1)

Tool to create a new section within a project using API v1.

Create task

Create a new task in Todoist using the unified API v1.

Delete Comment

Tool to delete a specific comment from Todoist by its ID.

Delete Label (V1)

Tool to delete a personal label using API v1.

Delete Project (API v1)

Tool to delete a project and all of its sections and tasks using Todoist API v1.

Delete Section (v1)

Tool to delete a section and all tasks within it.

Delete Task

Tool to delete a specific task from Todoist.

Delete Upload

Tool to delete an uploaded file from Todoist.

Export Template As File

Tool to export a Todoist project as a CSV template file.

Export Template As URL

Tool to export a Todoist project as a shareable template URL.

Filter Tasks

Tool to get all tasks matching the filter.

Get All Comments

This tool retrieves all comments associated with a specific task or project in Todoist.

Get all projects

Get all projects from a user's Todoist account.

Get All Tasks

Fetches all INCOMPLETE tasks from Todoist and returns their details.

Get Backups

Tool to list all available backup archives for the user.

Get Comment (V1)

Tool to retrieve a single comment by ID using the v1 API.

Get Completed Tasks By Completion Date

Tool to retrieve completed tasks within a specified completion date window.

Get ID Mappings

Tool to translate IDs between Todoist API v1 and v2.

Get Personal Label

Tool to retrieve a personal label by its ID.

Get Productivity Stats

Tool to retrieve comprehensive productivity statistics for the authenticated user.

Get Project (API v1)

Tool to retrieve a specific project by its ID using Todoist API v1.

Get Full Project Data

Tool to retrieve full project data including all sections, tasks, and collaborators.

Get Project Permissions

Tool to retrieve all available roles and their associated actions in Todoist projects.

Get Section (v1 API)

Tool to retrieve a specific section by its ID using Todoist v1 API.

Get Special Backups

Tool to list special backup archives for the authenticated user's projects.

Get Task (API v1)

Tool to retrieve a single active (non-completed) task by ID using API v1.

Get User

Tool to retrieve information about the currently authenticated user.

Get Workspace Plan Details

Tool to retrieve details about a workspace's current plan and usage.

Import Template Into Project By ID

Tool to import a template from Todoist's template gallery into an existing project.

Import Template Into Project From File

Tool to import a CSV template into an existing Todoist project from a file.

Invite Project Collaborator

Tool to invite a collaborator to a Todoist project by email.

List Activities

Tool to get activity logs from Todoist.

List All Workspace Invitations

Tool to return a list containing details of all pending invitations to a workspace.

List Archived Projects

Tool to get all archived projects from Todoist.

List Archived Sections

Tool to retrieve all archived sections for a specific project in Todoist.

List Archived Workspace Projects

Tool to list all archived projects in a workspace.

List Completed Tasks

Tool to retrieve all completed tasks with optional project filtering.

List Completed Tasks By Due Date

Tool to retrieve completed tasks within a specified due date range (up to 6 weeks).

List Filters

Tool to list all filters for the authenticated user.

List Joinable Workspaces

Tool to get workspaces the user can join.

List Labels

Tool to get all user labels with pagination support.

List Pending Workspace Invitations

Tool to list pending invitation emails in a workspace.

List Project Collaborators

Tool to get all collaborators for a given project with cursor-based pagination.

List Sections

Tool to get all active sections for the user, with optional filtering by project.

List Shared Labels

Tool to retrieve shared label names from active tasks with pagination support.

List Workspace Active Projects

Tool to list all active workspace projects.

List Workspace Archived Projects

Tool to get archived projects in a workspace.

List Workspace Invitations

Tool to list user emails with pending invitations to a workspace.

List Workspace Users

Tool to list users in workspace(s).

Move Task

Tool to move a task to another project, section, or parent task while preserving task identity and metadata.

Move Task (REST API)

Tool to move a task to another project, section, or parent task using the REST API.

Quick Add Task

Tool to add tasks using natural language parsing similar to the official Todoist clients.

Remove Shared Label (API v1)

Tool to remove a shared label from all active tasks using API v1.

Rename Shared Labels (API v1)

Tool to rename a shared label across all active tasks using API v1.

Reopen Task (API v1)

Tool to reopen a completed task in Todoist using API v1.

Reorder Tasks

Reorder tasks deterministically by updating child_order in bulk via the Sync API item_reorder command.

Search Labels

Tool to search user labels by name with case-insensitive matching.

Search Projects

Search active user projects by name with support for wildcards and pagination.

Search Sections

Tool to search active sections by name, optionally filtered by project.

Todoist Sync

Tool to sync data with Todoist server, supporting both read and write operations.

Unarchive Project (API v1)

Tool to unarchive a previously archived Todoist project using API v1.

Update Comment (v1)

Tool to update a comment by ID and return its content via v1 API.

Update Label (API v1)

Tool to update an existing label using API v1.

Update Notification Setting

Tool to update notification settings for the current user.

Update Project (API v1)

Tool to update a project's properties using Todoist API v1.

Update Section (v1)

Tool to update an existing section by its ID using Todoist v1 API.

Update Task

Tool to update an existing task's properties.

Update Workspace Logo

Tool to upload an image as the workspace logo or delete the existing logo.

Upload File

Tool to upload a file to Todoist.

FRAMEWORKS

How to build Todoist MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Todoist MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Todoist MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Todoist MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Todoist MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Todoist MCP with Claude Cowork

Codex logo

Codex

Use Todoist MCP with Codex

Cursor logo

Cursor

Use Todoist MCP with Cursor

OpenClaw logo

OpenClaw

Use Todoist MCP with OpenClaw

Hermes logo

Hermes

Use Todoist MCP with Hermes

CLI logo

CLI

Use Todoist MCP with CLI

Google ADK logo

Google ADK

Use Todoist MCP with Google ADK

LangChain logo

LangChain

Use Todoist MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Todoist MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Todoist MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Todoist MCP with LlamaIndex

CrewAI logo

CrewAI

Use Todoist MCP with CrewAI

OpenCode logo

OpenCode

Use Todoist MCP with OpenCode

VS Code logo

VS Code

Use Todoist MCP with VS Code

FAQ

Frequently asked questions

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

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 Todoist tools.

Yes, absolutely. You can configure which Todoist 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.

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 Todoist data and credentials are handled as safely as possible.

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Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

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CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

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Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

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With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

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