Todoist MCP
Interact with your Todoist tasks and projects.
Todoist MCP
Connect this Model Context Protocol server to your LLM to interact with Todoist.
Functionality
This integration implements all the APIs available from the Todoist TypeScript Client, providing access to:
Task Management
- Create tasks (with content, descriptions, due dates, priorities, labels, and more)
- Create tasks with natural language (e.g., "Submit report by Friday 5pm #Work")
- Retrieve tasks (individual, filtered, or all tasks)
- Retrieve completed tasks (by completion date or due date)
- Get productivity statistics
- Update tasks
- Move tasks (individually or in batches)
- Close/reopen tasks
- Delete tasks
Project Management
- Create, retrieve, update, and delete projects
Section Management
- Create, retrieve, update, and delete sections within projects
Comment Management
- Add, retrieve, update, and delete comments for tasks or projects
Label Management
- Create, retrieve, update, and delete labels
- Manage shared labels
Collaboration
- Get collaborators for projects
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_TOKEN": "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
関連サーバー
harvest-mcp-server
Harvest time tracking integration with 40+ tools for managing time entries, projects, clients, tasks, and generating time reports via the Harvest API v2
Reply.io
Control Reply.io sequences and contacts directly from your AI model. Manage outreach, pull stats, and enroll prospects — without leaving your AI chat.
OmniTaskAgent
A multi-model agent for managing tasks across various platforms, requiring API keys for different AI models.
MCP Orchestrator
A universal interface to manage and interact with all your MCP servers from a single point, using external configuration files for mappings and credentials.
Plausible Analytics
An MCP server for interacting with the Plausible Analytics API to access website traffic data.
Limitless MCP Server
Connect AI assistants to Limitless to access personal memory and lifelog data.
Xwiki MCP
MCP server for XWiki REST API — read your wiki from Claude and other AI agents
Sequential Thinking Tools
Guides problem-solving by breaking down complex problems and recommending the best MCP tools for each step.
Doc Reading and Converter
A server for reading and converting documents between PDF, DOCX, and Markdown formats using marker-pdf and pandoc.
Jotdown
An MCP server that enables LLMs to create or update Notion pages and generate Markdown Books (mdbooks).