How to integrate Todoist MCP with Pydantic AI

This guide walks you through connecting Todoist to Pydantic AI 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 Pydantic AI 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.

76 Tools1 Triggers

Introduction

This guide walks you through connecting Todoist to Pydantic AI 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 Pydantic AI 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:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Todoist
  • 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 Todoist 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 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 step09 STEPS
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
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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Todoist
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

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

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
5

Import dependencies

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()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Todoist
  • MCPServerStreamableHTTP connects to the Todoist MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

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 Todoist
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["todoist"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Todoist 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
todoist_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[todoist_mcp],
    instructions=(
        "You are a Todoist assistant. Use Todoist tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Todoist endpoint
  • The agent uses GPT-5 to interpret user commands and perform Todoist operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

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 Todoist.\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()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Todoist API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Todoist and Pydantic AI:

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 Todoist
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["todoist"],
    )
    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
    todoist_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[todoist_mcp],
        instructions=(
            "You are a Todoist assistant. Use Todoist 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 Todoist.\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 Todoist through Composio's Tool Router. With this setup, your agent can perform real Todoist 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 + Todoist for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
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. 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 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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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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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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Founder, Extra Thursday

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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