Focusmo macOS app adds local MCP server for Claude AI integration
Focusmo, a macOS focus app developed by a solo developer, has shipped a local MCP server that enables Claude AI to connect to real focus data. The integration allows Claude to provide productivity advice based on actual user context rather than generic suggestions.
Key features and capabilities
The MCP server gives Claude access to several types of focus data:
- Today's stats
- Weekly trends
- Task list
- App usage with an hourly heatmap
- Personal records
- Live session state
Claude can also perform actions through the integration:
- Create tasks
- Mark tasks complete
Primary use cases
The main application is weekly review and planning with actual context. Example queries include:
- What patterns do you see in my focus data this week?
- Which tasks consumed the most real time?
- Help me plan tomorrow based on what I actually finished today
Technical implementation details
The developer prioritized several technical considerations:
- Local-only operation on Mac
- No external server required
- All data stays on-device
- Simple setup for Claude Desktop or Claude Code
The integration represents a practical application of MCP (Model Context Protocol) for connecting AI assistants to local application data without compromising privacy through cloud transmission.
📖 Read the full source: r/ClaudeAI
👀 See Also
ShareMyClaudeMD: Tool Converts Claude-Generated Markdown Files to Shareable Rendered Pages
A developer built sharemyclaudemd.com, a free tool that converts any Markdown file into a live, rendered page with a shareable URL and QR code. The tool addresses the friction of sharing Claude-generated Markdown files, which often requires recipients to open them in a specific editor or push to GitHub just for a rendered view.
A System for Claude Code to Learn Your Project Over Time
A developer created a simple setup to help Claude Code retain context between sessions by adding a CLAUDE.md file, a docs folder with project conventions, and three prompts for bootstrapping, refining, and capturing patterns.
Delimit Governance Layer for Multi-Agent AI Development
Delimit is an open-source governance layer that coordinates multiple AI coding agents to prevent conflicts. It provides shared memory, collision detection, and audit tracking for agents like Claude Code, Codex, and Gemini.
MAGELLAN: A 15-Agent Autonomous Scientific Discovery System Built on Claude Code
MAGELLAN is a 15-agent autonomous scientific discovery system built entirely on Claude Code. It uses Opus for deep reasoning and Sonnet for structured tasks, generating cross-disciplinary hypotheses without human direction, with 260 hypotheses proposed and 60% killed by adversarial validation in 19 sessions.