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🍅 TodoPomo MCP Server

AI-powered task management with Pomodoro technique for Claude Desktop

npm version License: MIT

What is this?

TodoPomo is an MCP server that lets Claude (or any MCP-compatible AI) manage your tasks and Pomodoro sessions. Just talk naturally - no apps, no clicking.

Features:

  • ✅ Task management with priorities

  • ⏱️ Flexible Pomodoro timers

  • 📊 Productivity statistics

  • 💾 Local data storage

  • 🎯 Progress tracking

Installation

npm install -g todopomo-mcp

Add to Claude Desktop config (%APPDATA%\Claude\claude_desktop_config.json on Windows):

{ "mcpServers": { "todopomo": { "command": "npx", "args": ["-y", "todopomo-mcp"] } } }

Restart Claude Desktop. Done!

Usage

Just ask Claude:

"Add a task to study JavaScript with high priority for 3 pomodoros" "List all my pending tasks" "Start a 25-minute work session" "Show me my stats for today" "Update settings to 50-minute work sessions"

Development

git clone https://github.com/YOUR_USERNAME/todopomo-mcp.git cd todopomo-mcp npm install npm run build npm start

How it Works

Built with TypeScript and the Model Context Protocol SDK. Provides 9 tools for task and time management:

  • add_task - Create tasks

  • list_tasks - View tasks (filter by status/priority)

  • update_task - Modify tasks

  • delete_task - Remove tasks

  • start_pomodoro - Begin work/break sessions

  • complete_pomodoro - Finish sessions

  • get_pomodoro_stats - View productivity data

  • update_settings - Customize timers

  • get_active_session - Check current session

Data stored locally in JSON format.

Tech Stack

  • TypeScript - Type-safe development

  • Node.js - Runtime

  • MCP SDK - Protocol implementation

  • JSON - Data persistence

Default Settings

  • Work: 25 minutes

  • Short break: 5 minutes

  • Long break: 15 minutes

  • Pomodoros before long break: 4

All customizable through Claude!

License

MIT - feel free to use and modify!

Author

Built with ☕ and 🍅 by Pratyay Rajak

Questions? Open an issue or reach out!

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/PratyayRajak/todopomo-mcp'

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