Todoist MCP
Interact with your Todoist tasks and projects using your LLM.
Todoist MCP
Connect this Model Context Protocol server to your LLM to interact with Todoist.
It supports all the APIs available from the Todoist TypeScript Client.
Setup
Build the server app:
npm install
npm run build
Configure Claude:
You must install the Claude desktop app which supports MCP.
You can get your Todoist API key from Todoist > Settings > Integrations > Developer.
Then, in your claude_desktop_config.json, add a new MCP server:
{
"mcpServers": {
"todoist-mcp": {
"command": "node",
"args": ["/path/to/repo/build/index.js"],
"env": {
"TODOIST_API_KEY": "your_todoist_api_key"
}
}
}
}
You can now launch Claude desktop app and ask to update Todoist.
Distribution
Smithery
Install Todoist MCP on Claude Desktop using Smithery:
npx -y @smithery/cli install @miottid/todoist-mcp --client claude
Glama
Related Servers
EAN-Search.org product database official MCP
Access to the EAN-Search.org product database, searching by barcode or keywords
Hyperspell
A spellchecker and grammar checker for developers, requiring a Hyperspell token for authentication.
Taiga MCP Server
A server for Taiga project management, enabling advanced sprint and issue tracking.
MCP Notes
A simple note-taking server for recording and managing notes with AI models, using AWS DynamoDB for storage.
macOS Defaults
Read and write macOS user defaults and settings.
Smartsheet
Integrate with Smartsheet for project management and data analytics, requiring an API access token.
Plane
The official Plane MCP server provides integration with Plane APIs, enabling full AI automation of Plane projects, work items, cycles and more.
Directus Task MCP Server
Manage tasks in Directus with automatic schema synchronization.
cross-llm-mcp
A Model Context Protocol (MCP) server that provides access to multiple Large Language Model (LLM) APIs including ChatGPT, Claude, Gemini, and DeepSeek.
Anki MCP Server
Interact with the Anki flashcard app via the AnkiConnect add-on. Supports audio generation and similarity search.