Todoist with Pydantic AI

How to integrate Todoist MCP with Pydantic AI

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Introduction Also integrate Todoist with TL;DR What is Pydantic AI What is the Todoist MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Todoist MCP Agent with another framework Explore Other Toolkits FAQ

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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

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

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.

Supported Tools & Triggers

Tools

Triggers

Add WorkspaceTool to create a new workspace in Todoist.

Archive Project (API v1)Tool to archive a project using Todoist API v1.

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

Delete CommentTool 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 TaskTool to delete a specific task from Todoist.

Delete UploadTool to delete an uploaded file from Todoist.

Export Template As FileTool to export a Todoist project as a CSV template file.

Export Template As URLTool to export a Todoist project as a shareable template URL.

Filter TasksTool to get all tasks matching the filter.

Get All CommentsThis tool retrieves all comments associated with a specific task or project in Todoist.

Get all projectsGet all projects from a user's Todoist account.

Get All TasksFetches all INCOMPLETE tasks from Todoist and returns their details.

Get BackupsTool 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 DateTool to retrieve completed tasks within a specified completion date window.

Get ID MappingsTool to translate IDs between Todoist API v1 and v2.

Get Personal LabelTool to retrieve a personal label by its ID.

Get Productivity StatsTool 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 DataTool to retrieve full project data including all sections, tasks, and collaborators.

Get Project PermissionsTool 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 BackupsTool 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 UserTool to retrieve information about the currently authenticated user.

Get Workspace Plan DetailsTool to retrieve details about a workspace's current plan and usage.

Import Template Into Project By IDTool to import a template from Todoist's template gallery into an existing project.

Import Template Into Project From FileTool to import a CSV template into an existing Todoist project from a file.

Invite Project CollaboratorTool to invite a collaborator to a Todoist project by email.

List ActivitiesTool to get activity logs from Todoist.

List All Workspace InvitationsTool to return a list containing details of all pending invitations to a workspace.

List Archived ProjectsTool to get all archived projects from Todoist.

List Archived SectionsTool to retrieve all archived sections for a specific project in Todoist.

List Archived Workspace ProjectsTool to list all archived projects in a workspace.

List Completed TasksTool to retrieve all completed tasks with optional project filtering.

List Completed Tasks By Due DateTool to retrieve completed tasks within a specified due date range (up to 6 weeks).

List FiltersTool to list all filters for the authenticated user.

List Joinable WorkspacesTool to get workspaces the user can join.

List LabelsTool to get all user labels with pagination support.

List Pending Workspace InvitationsTool to list pending invitation emails in a workspace.

List Project CollaboratorsTool to get all collaborators for a given project with cursor-based pagination.

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

List Shared LabelsTool to retrieve shared label names from active tasks with pagination support.

List Workspace Active ProjectsTool to list all active workspace projects.

List Workspace Archived ProjectsTool to get archived projects in a workspace.

List Workspace InvitationsTool to list user emails with pending invitations to a workspace.

List Workspace UsersTool to list users in workspace(s).

Move TaskTool 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 TaskTool 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 TasksReorder tasks deterministically by updating child_order in bulk via the Sync API item_reorder command.

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

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

Search SectionsTool to search active sections by name, optionally filtered by project.

Todoist SyncTool 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 SettingTool 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 TaskTool to update an existing task's properties.

Update Workspace LogoTool to upload an image as the workspace logo or delete the existing logo.

Upload FileTool to upload a file to Todoist.

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:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
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 with an active API key
Basic familiarity with Python and async programming

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 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

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

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

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

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

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

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.

How to build Todoist MCP Agent with another framework

ChatGPT

Use Todoist MCP with ChatGPT

OpenAI Agents SDK

Use Todoist MCP with OpenAI Agents SDK

Claude Agent SDK

Use Todoist MCP with Claude Agent SDK

Claude Code

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Claude Cowork

Use Todoist MCP with Claude Cowork

Codex

Use Todoist MCP with Codex

Cursor

Use Todoist MCP with Cursor

OpenClaw

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Hermes

Use Todoist MCP with Hermes

CLI

Use Todoist MCP with CLI

Google ADK

Use Todoist MCP with Google ADK

LangChain

Use Todoist MCP with LangChain

Vercel AI SDK

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Mastra AI

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LlamaIndex

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CrewAI

Use Todoist MCP with CrewAI

OpenCode

Use Todoist MCP with OpenCode

VS Code

Use Todoist MCP with VS Code

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TOOLKIT MARKETPLACE

FAQ

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

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.

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 Todoist tools.

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

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.

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 Todoist data and credentials are handled as safely as possible.

Used by agents from

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We handle tool reliability, observability, and security so you never have to second-guess an agent action.

Get started for free Get a demo↗

Harsha GaddipatiCo-founder, Slashy

Karan skipped his own birthday party to fix our critical issue. It was 10 pm and he diverted his Waymo to help us instead. This really sets the bar, shows you the commitment you need to have when users rely on your software.

Abhi AryaCo-founder, Opennote

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 has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

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

Ryan YuFounder, Extra Thursday

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

Tomisin JenrolaFounder & CEO, SwarmZero

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

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

How to integrate Todoist MCP with Pydantic AI

Table of Contents

Connect Todoist without Auth hassles

Introduction

Also integrate Todoist with

TL;DR

What is Pydantic AI?

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

Supported Tools & Triggers

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Create a Tool Router Session

Initialize the Pydantic AI Agent

Build the chat interface

Run the application

Complete Code

Conclusion

How to build Todoist MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Google Sheets

Notion

Airtable

FAQ

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

Can I use Tool Router MCP with Pydantic AI?

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

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability