Doist/todoist-mcp

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
2. Import the tools and plug them to an AI
Here's an example using Vercel's AI SDK.
Using as an MCP server
Quick Start
You can run the MCP server directly with npx:
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
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:
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:
Then launch claude, execute /mcp, and select the todoist MCP server to authenticate.
Visual Studio Code
1. Open Command Palette → MCP: Add Server
2. Select HTTP transport and use:
Other MCP Clients
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. Expect more and/or better tools soon.
Nevertheless, our goal is to provide a small set of tools that enable complete workflows, rather than just atomic actions, striking a balance between flexibility and efficiency for LLMs.
For our design philosophy, guidelines, and development patterns, see docs/tool-design.md.
Available Tools
For a complete list of available tools, see the src/tools directory.
OpenAI MCP Compatibility
This server includes search and fetch tools that follow the OpenAI MCP specification, enabling seamless integration with OpenAI's MCP protocol. These tools return JSON-encoded results optimized for OpenAI's requirements while maintaining compatibility with the broader MCP ecosystem.
Dependencies
- MCP server using the official @modelcontextprotocol/server
- Todoist Typescript API client @doist/todoist-sdk
MCP Server Setup
See docs/mcp-server.md for full instructions on setting up the MCP server.
Local Development Setup
See docs/dev-setup.md for full setup instructions and CONTRIBUTING.md for contributor workflows and quality checks.
MCP Apps
This project includes support for **MCP Apps** – interactive UI widgets rendered inline in AI chat interfaces. Widgets provide rich visual representations of tool outputs (e.g., task lists) instead of plain text.