aimharder-mcp
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- AlicenseNot gradedqualityBmaintenanceEnables conversational logging and retrieval of workouts, sets, weigh-ins, meals, goals, plans, and progress photos through MCP-capable AI clients, with authenticated per-user storage and export/query capabilities.ISC
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to find coach-built training programs, coaching brains, races, gyms, classes and sports clinics, preview and build workouts with exercise demos, swap exercises, and plan around a sport or race. With OAuth it can also save workouts and programs, send coach notes to members, and read a member's logged history, planned sessions and lift progress.MIT

Memory.fit MCPofficial
AlicenseNot gradedqualityCmaintenanceEnables AI assistants to read training, sleep, recovery, nutrition, body composition, race and goal data, and with permission write workouts, daily targets, meal plans, logged meals and notes. Also supports checking for updates since the last look.MIT- AlicenseCqualityCmaintenanceEnables AI agents to read training data and, with explicit approval, replace planned workouts in a user's Intervals.icu account.7Apache 2.0
- FlicenseNot gradedqualityAmaintenanceEnables athletes and coaches to query workouts, build structured intervals, manage calendars, events, health metrics and multi-week plans, and track CTL/ATL/TSB fitness and power PRs through natural language. Uses secure cookie-based authentication that any account can set up in minutes, with no API approval required.-
- FlicenseNot gradedqualityAmaintenanceEnables querying and managing workouts, structured intervals, calendar events, health metrics, fitness trends (CTL/ATL/TSB), power PRs, and athlete settings through natural language using secure cookie authentication, so any account works without API approval.-
TDQS
Scored across 21 tools
Prepare/execute pairs are explicitly paired and each targets a distinct action (create, cancel, late cancel, save result, delete result), so boundaries are mostly clear. The riskiest overlaps are the read-side trio of get_upcoming_bookings / get_booking_history / get_personal_activity and the 1RM trio (get_exercise_1rm / find_exercise_1rm / get_exercise_rm_progression), which descriptions do distinguish but an agent could still misselect.
All names use snake_case with a predictable verb-first pattern (get_/find_/prepare_/execute_) plus a resource noun, with suffixes like _range for variants. Minor deviation is that prepare_* tools are actually read-only previews while get_* is used for other reads, so the verb doesn't perfectly signal read vs. stage.
21 tools is on the heavy side for a single gym-app integration, inflated by four prepare/execute safety pairs (bookings, cancellation, exercise results, deletion). The domain is broad enough (sessions, booking, workouts, 1RM, activity) that most tools earn their place, but it sits at the borderline of heavy.
Booking lifecycle, cancellation with late-cancellation credit handling, schedules, participants, published workouts, 1RM data, and personal activity are all covered with both preview and execution paths. Gaps are minor: no waitlist join/leave despite waitlisted states being reported, and no way to edit the booking plan or preferences (only read via get_account_context).