Pomodoro Ai Mcp
Start, track, and log Pomodoro focus blocks from your coding agent so deep-work sessions stay visible while you ship features.
Overview
pomodoro-ai-mcp is a MCP server for the Build phase that lets your agent run Pomodoro focus timers over stdio while you code.
What is this MCP server?
- PyPI stdio MCP server pomodoro-ai-mcp at version 1.0.4
- Exposes Pomodoro timer controls to agents (start/stop/status—confirm tools in repo)
- Keeps focus management inside Claude Code or Cursor instead of a separate timer app
- MEOK AI Labs CSOAI-ORG GitHub distribution with MCP 2025-12-11 schema
- Low-friction local stdio deployment for solo maker workflows
- Transport type: stdio
- Package registry: PyPI
What problem does it solve?
You lose flow switching between the editor and external timer apps when trying to ship features on a tight solo schedule.
Who is it for?
Solo makers using Claude Code or Cursor who want spoken or scripted Pomodoro control without leaving the agent.
Skip if: Teams needing shared sprint metrics, billing-grade time tracking, or calendar-wide resource planning.
What do I get? / Deliverables
Your agent can manage timed focus and break cycles in-session so you protect deep work during implementation.
- In-agent Pomodoro intervals and break reminders during coding
- Lightweight timeboxed work logs the agent can reference in the same thread
Recommended MCP Servers
Journey fit
Focus and timeboxing support sustained Build execution without replacing launch or analytics tooling. PM is the canonical shelf for personal execution rhythm, session planning, and maker scheduling alongside implementation.
How it compares
Personal focus-timer MCP hookup, not a full PM platform like Linear or Jira.
Common Questions / FAQ
Who is pomodoro-ai-mcp for?
Individual developers and indie hackers who use AI agents daily and want Pomodoro timing integrated into that environment.
When should I use pomodoro-ai-mcp?
During Build PM blocks when you want the agent to start focus intervals, remind you to break, or log work segments alongside coding tasks.
How do I add pomodoro-ai-mcp to my agent?
pip install or run the PyPI package pomodoro-ai-mcp (1.0.4), register it as a stdio MCP server in your client, using paths from github.com/CSOAI-ORG/pomodoro-ai-mcp.