# TodoPomo MCP Server

> Use this tool when you need to optimize productivity workflows and task management through timed work sessions. It integrates the Pomodoro Technique with task tracking and productivity statistics, solving problems of inefficient time management and lack of focus. Ideal for AI assistants managing multiple tasks, it takes in task inputs and outputs comprehensive productivity metrics.

Canonical page: https://skillsregistry.net/skills/pratyayrajak-todopomo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pratyayrajak-todopomo-mcp

## Description

Integrates task management with the Pomodoro Technique, enabling AI assistants to manage productivity workflows through timed work sessions, task tracking, and comprehensive productivity statistics.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hbawhci335)
- **Repository:** <https://github.com/PratyayRajak/todopomo-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pratyayrajak-todopomo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pratyayrajak-todopomo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pratyayrajak-todopomo-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt