Track time, manage activities, and generate reports with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Early MCP Server" yet — see the docs or source repo.
Log time in Early from 9 AM to 11 AM today for the website redesign project, under the activity prototype design.
A 2-hour time entry is created in Early under the specified project and activity.
Review my current activity list, merge duplicates, and suggest a clear activity structure for design, development, and meetings.
Provides activity cleanup recommendations and, if needed, merges or creates clearer activity categories.
Generate my time report for this week, summarize total hours by project, and highlight the top three activities by time spent.
Outputs a weekly time report with project totals and analysis of the most time-consuming activities.
Manage time entries, activities, and reports through natural language.
Connect ActivityWatch data so AI can analyze activity logs and productivity patterns.
Query structured data in natural language without needing SQL or API expertise.
Connect AI to Timing for tracking time, tasks, projects, and entries.
Build and integrate MCP servers quickly with TypeScript.
Use MCP tools to analyze GitHub repos, calculate, check weather/time, and run commands.