Todoist MCP Server

Library for connecting AI agents to Todoist. Includes tools that can be integrated into LLMs, enabling them to access and modify a Todoist account on the user's behalf.

These tools can be used both through an MCP server, or imported directly in other projects to integrate them to your own AI conversational interfaces.

Using tools

1. Add this repository as a dependency

npm install @todoist/mcp

This package was previously published as @doist/todoist-mcp.

2. Import the tools and plug them to an AI

Here's an example using Vercel's AI SDK.

import { findTasksByDate, addTasks } from '@todoist/mcp'
import { TodoistApi } from '@todoist/sdk'
import { streamText } from 'ai'

// Create Todoist API client
const client = new TodoistApi(process.env.TODOIST_API_KEY)

// Helper to wrap tools with the client
function wrapTool(tool, todoistClient) {
    return {
        ...tool,
        execute(args) {
            return tool.execute(args, todoistClient)
        },
    }
}

const result = streamText({
    model: yourModel,
    system: 'You are a helpful Todoist assistant',
    tools: {
        findTasksByDate: wrapTool(findTasksByDate, client),
        addTasks: wrapTool(addTasks, client),
    },
})

Using as an MCP server

Quick Start

You can run the MCP server directly with npx:

npx -p @todoist/mcp todoist-mcp

Setup Guide

The Todoist MCP server is available as a streamable HTTP service for easy integration with various AI clients:

Primary URL (Streamable HTTP): https://ai.todoist.net/mcp

Claude Desktop

1. Open Settings → Connectors → Add custom connector
2. Enter https://ai.todoist.net/mcp and complete OAuth authentication

Cursor

Create a configuration file:

• Global: ~/.cursor/mcp.json
• Project-specific: .cursor/mcp.json

{
    "mcpServers": {
        "todoist": {
            "command": "npx",
            "args": ["-y", "mcp-remote", "https://ai.todoist.net/mcp"]
        }
    }
}

Then enable the server in Cursor settings if prompted.

Claude Code (CLI)

The fastest setup is the official Todoist plugin, which wires up the MCP server for you:

/plugin marketplace add todoist/todoist-mcp
/plugin install todoist@doist

OAuth runs in your browser the first time you use a Todoist tool. See Anthropic's plugin docs for more.

If you'd rather configure the MCP server manually, run:

claude mcp add --transport http todoist https://ai.todoist.net/mcp

Then launch claude, execute /mcp, and select the todoist MCP server to authenticate.

Gemini CLI

Install the official Todoist extension with Gemini CLI 0.67.0 or later:

gemini extensions install https://github.com/todoist/todoist-mcp

Start or restart Gemini CLI, then run /mcp auth todoist and sign in with your Todoist account. Todoist hosts the server; no API key or local server is needed.

The assistant can read and change your Todoist tasks and projects. Revoke access at any time in Todoist under Settings → Integrations.

Visual Studio Code

1. Open Command Palette → MCP: Add Server
2. Select HTTP transport and use:

{
    "servers": {
        "todoist": {
            "type": "http",
            "url": "https://ai.todoist.net/mcp"
        }
    }
}

Other MCP Clients

npx -y mcp-remote https://ai.todoist.net/mcp

For more details on setting up and using the MCP server, including creating custom servers, see docs/mcp-server.md.

Features

A key feature of this project is that tools can be reused, and are not written specifically for use in an MCP server. They can be hooked up as tools to other conversational AI interfaces (e.g. Vercel's AI SDK).

This project is in its early stages

... View full README on GitHub