WHOOP MCP Server
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Alternatives to WHOOP MCP Server
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Related Servers
- AlicenseAqualityDmaintenanceExposes WHOOP recovery, sleep, strain, and workout metrics to MCP-compatible AI assistants using OAuth 2.0 authentication, enabling daily wellbeing snapshots, trend analysis, and workload recommendations.6458 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 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
- FlicenseNot gradedqualityDmaintenanceEnables users to query WHOOP health data including recovery, sleep, workouts, and cycles through Claude Desktop using MCP tools.-
- AlicenseNot gradedqualityAmaintenanceMCP server that exposes Whoop API v2 data as tools, enabling natural language queries for cycles, recovery, sleep, workouts, and profile.MIT
- AlicenseAqualityDmaintenanceMCP server providing read access to WHOOP biometric data including recovery, sleep, strain, and workouts.161MIT
TDQS
Scored across 16 tools
Most tools are clearly distinct by metric and time range, but whoop_get_stats overlaps with specific getters like whoop_get_recovery and whoop_get_sleep, which could cause an agent to misselect. The descriptions help, but the boundary between the aggregate and specific tools is slightly unclear.
All tools follow a consistent whoop_get_<metric> pattern with snake_case and descriptive names. The pattern is uniform and predictable across the entire set.
With 16 tools, the server is slightly above the typical 3-15 range but still remains well-scoped. Each tool has a distinct role in retrieving or managing WHOOP data, so the count feels reasonable rather than excessive.
The tool set comprehensively covers core WHOOP biometrics—recovery, strain, workout, sleep, and heart rate—with both current and historical data views. The inclusion of health, cache, and config management tools fills the operational gaps, leaving no significant missing operations for the domain.