hevy-mcp
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No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityFmaintenanceEnables AI assistants to interact with the Hevy fitness tracking API for logging workouts, managing routines, and tracking fitness progress.14 npm32MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to interact with the Hevy fitness tracking API, allowing users to log workouts, manage routines, browse exercises, and track fitness progress through natural language.14 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables LLMs to read and write Hevy workout tracking data, including workouts, routines, exercise templates, per-exercise history, and body measurements through all 15 Hevy public API endpoints.14 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables interaction with the Hevy fitness tracking platform through their API. Supports managing workouts, routines, exercise templates, and webhook subscriptions for comprehensive fitness data management.88 npmISC
- AlicenseNot gradedqualityDmaintenanceExposes the Hevy workout API to Claude, enabling users to manage workouts, routines, exercise templates, body measurements, and user info via natural language.79,651 npmMIT
- FlicenseNot gradedqualityCmaintenanceEnables reading Hevy workout data and creating workout routines and logged workouts through Hevy's public API.79,651 npm-
TDQS
Scored across 23 tools
Each tool clearly targets a distinct resource and action, such as workouts, routines, routine folders, and exercise templates. List/detail operations are separated with explicit singular naming (e.g., get_workouts vs get_single_workout), and no two tools appear to serve the same purpose.
All tool names use snake_case and follow a verb_noun pattern (get_, create_, update_, delete_). Minor deviations exist with get_single_workout instead of get_workout and get_workout_count as a compound noun, but overall the naming is predictable and consistent.
With 23 tools, the server feels slightly heavy, but the count is justified by covering four distinct resource types (workouts, routines, routine folders, exercise templates), each with appropriate CRUD operations. A few utilities like get_workout_count and get_workout_events add value without bloating the set excessively.
The server covers most core workflows: full CRUD for workouts, routines, and routine folders, plus listing, retrieving, creating, and deleting exercise templates. However, there is no update_exercise_template, which is a notable gap since creating and deleting without updating forces a delete/recreate pattern for adjustments.