WHOOP MCP Server
Related Servers
Alternatives to WHOOP MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceMCP server that enables AI assistants to access Whoop health data including recovery, sleep, workouts, and daily strain for personalized health recommendations.7458 npmMIT
- AlicenseAqualityDmaintenanceEnables querying WHOOP biometric data (recovery, strain, sleep, workouts, heart rate) from any MCP-compatible AI client, supporting remote and direct modes.16458 npmMIT
- AlicenseNot gradedqualityDmaintenanceIntegrates WHOOP biometric data into Claude and other MCP-compatible applications, providing access to sleep analysis, recovery metrics, strain tracking, and biological age data through natural language queries.14 npm13MIT
- AlicenseNot gradedqualityAmaintenanceA multi-user MCP server that exposes WHOOP fitness data (recovery, sleep, workouts, cycles, profile, body measurements) to AI clients. Each user connects their own WHOOP account via OAuth and only sees their own data, which is fetched live on every tool call.14 npmMIT
- AlicenseNot gradedqualityCmaintenanceConnects Whoop health data to Claude via an MCP server, enabling retrieval of recovery, sleep, strain, and workout metrics through natural language tools.458 npmMIT
- FlicenseBqualityDmaintenanceExposes Garmin Connect wellness and recovery metrics to MCP-compatible AI assistants for workload planning.3-
TDQS
Scored across 6 tools
Most tools have distinct purposes (baseline, alerts, sleep, trends, snapshot, guard), but 'wellbeing_snapshot' overlaps with 'sleep_summary' and 'training_load_trend' as it includes similar metrics, causing potential ambiguity.
All tools follow a consistent 'whoop_<domain>_<aspect>' snake_case pattern with no mixing of conventions, making them predictable and easy to interpret.
With 6 tools covering key areas of WHOOP health metrics, the count is well-scoped for an API wrapper—neither too sparse nor overwhelming.
The tool set covers essential read operations (sleep, recovery, HRV, strain, trends, alerts), but lacks explicit tools for detailed workout breakdown or historical data export, though snapshot partially fills gaps.