About
Todoist Integration connects your AI assistant to your Todoist account through the complete Todoist TypeScript API, enabling comprehensive task and project management directly from chat. Key capabilities include: - Full task lifecycle management: create, update, move, close, reopen, and delete tasks with support for due dates, priorities, labels, and descriptions - Natural language task creation: add tasks using everyday phrases (e.g., "Submit report by Friday 5pm #Work") - Project organization: create and manage projects, sections within projects, and shared labels - Collaboration features: view project collaborators and manage shared resources - Comments and context: add, retrieve, and manage comments on tasks and projects - Productivity insights: access completion statistics and retrieve completed task history by date - Advanced querying: filter and retrieve tasks individually, in batches, or across your entire workspace
README
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
Project Management
Section Management
Comment Management
Label Management
Collaboration
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
[](https://smithery.ai/server/@miottid/todoist-mcp)
Install Todoist MCP on Claude Desktop using Smithery:
npx -y @smithery/cli install @miottid/todoist-mcp --client claude
Glama
Related MCP Servers
AI Research Assistant
hamid-vakilzadeh
AI Research Assistant provides comprehensive access to millions of academic papers through the Semantic Scholar and arXiv databases. This MCP server enables AI coding assistants to perform intelligent literature searches, citation network analysis, and paper content extraction without requiring an API key. Key features include: - Advanced paper search with multi-filter support by year ranges, citation thresholds, field of study, and publication type - Title matching with confidence scoring for finding specific papers - Batch operations supporting up to 500 papers per request - Citation analysis and network exploration for understanding research relationships - Full-text PDF extraction from arXiv and Wiley open-access content (Wiley TDM token required for institutional access) - Rate limits of 100 requests per 5 minutes with options to request higher limits through Semantic Scholar
Linkup
LinkupPlatform
Linkup is a real-time web search and content extraction service that enables AI assistants to search the web and retrieve information from trusted sources. It provides source-backed answers with citations, making it ideal for fact-checking, news gathering, and research tasks. Key features of Linkup: - Real-time web search using natural language queries to find current information, news, and data - Page fetching to extract and read content from any webpage URL - Search depth modes: Standard for direct-answer queries and Deep for complex research across multiple sources - Source-backed results with citations and context from relevant, trustworthy websites - JavaScript rendering support for accessing dynamic content on JavaScript-heavy pages
Math-MCP
EthanHenrickson
Math-MCP is a computation server that enables Large Language Models (LLMs) to perform accurate numerical calculations through the Model Context Protocol. It provides precise mathematical operations via a simple API to overcome LLM limitations in arithmetic and statistical reasoning. Key features of Math-MCP: - Basic arithmetic operations: addition, subtraction, multiplication, division, modulo, and bulk summation - Statistical analysis functions: mean, median, mode, minimum, and maximum calculations - Rounding utilities: floor, ceiling, and nearest integer rounding - Trigonometric functions: sine, cosine, tangent, and their inverses with degrees and radians conversion support