struggl-mcp
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- AlicenseNot gradedqualityCmaintenanceEnables MCP clients and AI agents to invoke deterministic fitness calculators for BMR/TDEE, body fat, one-rep max, macros, activity multipliers, powerlifting attempts, and natural muscular potential. Each tool reports consensus across published formulas, supporting consistent fitness and training analysis.1MIT
- 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
- AlicenseNot gradedqualityCmaintenanceConnects AI assistants to a self-hosted workout tracker so they can look up routines and history, log or edit workouts, adjust routines, manage exercises, and record bodyweight with OAuth-based per-profile access.AGPL 3.0
- AlicenseAqualityBmaintenanceEnables AI agents to search 1,900+ exercises with video and media links, generate workouts and multi-week programs, explore evidence-rated supplements, and use developer tools for API modeling, debugging, and usage insights.2069 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables read-only access to WHOOP recovery, sleep, HRV, strain, workout, and race-performance data so assistants like Claude, Codex, and GitHub Copilot can answer personal health questions, compare trends against personal baselines, and audit HYROX or triathlon training with local, evidence-backed dashboards. Includes aggregate mode, local-only race logging, and verification tools for recomputing claims.17 npmMIT
- AlicenseAqualityCmaintenanceTurns your own wearable data into coaching for hybrid fitness races by exposing readiness, running coach plans, fitness trends and training summaries as tools an agent can query. Keeps your data read-only at the provider and lets you log the station work and race profile your watch can't see in a local database.91MIT
TDQS
Scored across 12 tools
Several tool pairs have genuinely unclear boundaries: hyrox_pace and hyrox_splits both take a standalone 5 km time and produce run splits, volume_audit and get_muscle_volume both report hard sets per muscle group against weekly landmarks, and strength_benchmark and plates_zone2 both derive e1RM from a reference set. The stateless-vs-stateful distinction in the descriptions hints at the difference, but an agent would frequently have to guess which of a pair to call.
Names are all snake_case and readable, which is good, but conventions are mixed: get_sessions, get_profile, log_workout, plan_workout follow verb_noun while hyrox_pace, volume_audit, strength_benchmark, interference_tax, plates_zone2 are noun/noun_noun with no verb. The hyrox_* prefix is a useful grouping but the hyrox_autopsy vs hyrox_splits vs hyrox_pace distinction isn't encoded in the names.
12 tools sits comfortably in the well-scoped 3-15 range for a hybrid-athlete training assistant, and each nominal capability (log, plan, fetch, analyze) has a plausible home. The count is slightly inflated by the redundant overlapping pairs noted above, but nothing feels gratuitous at the surface level.
The core loop is covered — read profile/sessions, log completed work, plan future work, audit volume, benchmark strength, and analyze Hyrox performance — but there is no update or delete for logged/planned workouts, and get_profile has no corresponding profile/goal update tool. These are notable lifecycle gaps that will force agents into dead ends when a user mislogs or wants to change their race targets.