Todoist MCP
Connects LLMs to Todoist for comprehensive task and project management, enabling natural language task creation, updates, collaboration, and productivity tracking through the Todoist API.
README
Todoist MCP
<!-- TODO: redo auth tests and write extensive tests generally --> <!-- TODO: global review & feedback --> <!-- TODO: token refresh functionality --> <!-- TODO: integrate MCP auth spec with todoist oauth api? docs: https://modelcontextprotocol.io/specification/draft/basic/authorization -->
Note: predictably obsoleted by Todoist AI SDK, see here.
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:
bun install
bun run build
Run in development
TODOIST_API_KEY=<key> bun dev
Docker deployment:
docker compose up -d
Debugging:
Use the inspector to debug the server:
bunx @modelcontextprotocol/inspector
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": {
"default-server": {
"type": "streamable-http",
"url": "http://localhost:3000/mcp",
"note": "For Streamable HTTP connections, add this URL directly in your MCP Client"
}
}
}
You can now launch Claude desktop app and ask to update Todoist.
🔐 Security Features
This MCP server has been secured with enterprise-grade security measures:
- Authentication Required: JWT Bearer tokens or API key authentication
- Rate Limiting: Prevents abuse with configurable limits
- Input Validation: Comprehensive request validation and sanitization
- Security Headers: CORS, CSP, HSTS, and other security headers
- Logging & Monitoring: Security event logging and request monitoring
- Environment Configuration: Secure configuration via environment variables
See SECURITY.md for detailed security documentation.
Quick Security Setup
-
Generate secure tokens:
npm run setup-security -
Create
.envfile:cp .env.example .env # Add your generated tokens and Todoist API key -
Required Environment Variables:
JWT_SECRET=your_generated_jwt_secret_here TODOIST_API_KEY=your_todoist_api_key_here
Authentication
The server supports two authentication methods:
Method 1: API Key (Recommended for scripts)
curl -X POST http://localhost:3000/mcp \
-H "X-API-Key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"jsonrpc": "2.0", "method": "tools/list", "id": 1}'
Method 2: JWT Bearer Token (Recommended for applications)
curl -X POST http://localhost:3000/mcp \
-H "Authorization: Bearer YOUR_JWT_TOKEN" \
-H "Content-Type: application/json" \
-d '{"jsonrpc": "2.0", "method": "tools/list", "id": 1}'
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
E2B
Using MCP to run code via e2b.