GymTimer MCP Server
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- AlicenseAqualityDmaintenanceEnables AI assistants to access and analyze your Hevy workout data, including workout history, exercise progress, personal records, and routines.420 npm3MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to read, analyze, create, and update Hevy workout data, including workouts, routines, exercises, and body measurements, through the Model Context Protocol.4,761 npmMIT
- AlicenseNot gradedqualityCmaintenanceConnects AI assistants directly to Hevy workout data, enabling analysis of training volume, strength progression tracking, and web searches for fitness research.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to read, log, edit, and analyze workouts, routines, body weight, media, and personal records on a self-hosted openGym instance through its own HTTP API. Writes are scoped to requested changes with automatic backups and conflict detection, and tools are grouped into read, write, delete, and admin permission tiers.1MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to plan, build, and log calisthenics workouts in a user's own account, including searching exercises, managing custom workouts and plans, reading progress and coaching data, and logging completed sessions. Account mutations require explicit confirmation, and workouts can be displayed as interactive cards in the chat.MIT
TDQS
Scored across 21 tools
Tools are mostly distinct by resource and action: templates, exercises, nutrition, history, and preferences are clearly separated. The only real overlap is update_workout_template vs update_workout_template_name, where the latter is a narrower subset, but the descriptions make the intended use clear.
Tool names follow a consistent snake_case verb_noun pattern overall (get_, create_, update_, delete_). The main deviations are the use of 'save' for some creation/replacement tools and the more granular update_workout_template_name, but these are minor and still readable.
With 21 tools, the server is on the heavy side and sits in the borderline range. The count is defensible given the breadth of workout, nutrition, and analytics features, but a few tools could be consolidated.
Exercise and workout template CRUD are well covered, and nutrition has full plan-level lifecycle coverage. However, periodization has only save_periodization_plan with no way to read, update, or delete cycles, and there is no workout logging tool, which are notable gaps in the domain surface.