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christulino/todoist-v1-mcp-server

by Various

A clean, reliable MCP (Model Context Protocol) server for Todoist — built on the Todoist unified API v1.

C

MCP

christulino/todoist-v1-mcp-server

Added 1 June 2026

#claude #mcp #model-context-protocol #todoist

Overview

An MCP (Model Context Protocol) server that connects AI assistants to Todoist via the Todoist unified API v1. It enables reading and writing tasks, projects, and labels through a standardized protocol. Built in TypeScript with no external dependencies beyond the Todoist API.

Best for

Best for
Developers building AI-driven task management workflows with Todoist

Use cases

  • Automate task creation from natural language prompts in an AI chat interface
  • Query and filter upcoming tasks or projects programmatically
  • Integrate Todoist with other MCP-compatible tools or agents

Notes

An MCP (Model Context Protocol) server that connects AI assistants to Todoist via the Todoist unified API v1. It enables reading and writing tasks, projects, and labels through a standardized protocol. Built in TypeScript with no external dependencies beyond the Todoist API.

0 stars on GitHub. Last updated 2026-05-07. Licensed MIT.

Use cases

  • Automate task creation from natural language prompts in an AI chat interface
  • Query and filter upcoming tasks or projects programmatically
  • Integrate Todoist with other MCP-compatible tools or agents

Pros

  • Clean, focused implementation using the official Todoist API
  • Leverages the emerging MCP standard for modular AI tool integration
  • TypeScript codebase is readable and easy to modify

Cons

  • Zero stars and no community validation indicate lack of widespread testing or feedback
  • Relies on Todoist API v1, which has rate limits and may require authentication setup
  • MCP ecosystem is still maturing, so compatibility with different hosts may vary

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Clean, focused implementation using the official Todoist API
  • Leverages the emerging MCP standard for modular AI tool integration
  • TypeScript codebase is readable and easy to modify

Cons

  • Zero stars and no community validation indicate lack of widespread testing or feedback
  • Relies on Todoist API v1, which has rate limits and may require authentication setup
  • MCP ecosystem is still maturing, so compatibility with different hosts may vary