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
DIY OpenClaw Alternative Using Claude Code in Headless Mode
A developer built a Python server that sends prompts to Claude Code in headless mode, with Telegram bot access, Hammerspoon automation, and local markdown file storage for tasks, schedules, and notes.
PhantomCrowd: Multi-Agent Audience Simulator Using Claude Code
PhantomCrowd is a marketing-focused multi-agent prediction engine that simulates how real audiences react to content before posting. It generates 10-500 personas with unique demographics and personalities, each reacting independently to content like ad copy or social posts.
Karpathy's Autoresearch Ported to Apple Neural Engine for Better Throughput per Watt
A prototype combines Andrej Karpathy's autoresearch project with reverse-engineered Apple Neural Engine performance, aiming for better throughput per watt compared to official APIs. The project is built on existing GitHub repositories and acknowledges contributions from multiple developers.
Can OpenClaw Embrace the Power of Claude CLI?
Explore key insights from r/openclaw on whether OpenClaw can integrate with Claude CLI, a powerful AI tool designed to enhance coding and automation processes.