WHOOP MCP Server
Related Servers
Alternatives to WHOOP MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceEnables Claude to access and summarize WHOOP health data such as recovery, sleep, strain, workouts, and profile information through natural language queries.-
- FlicenseAqualityDmaintenanceEnables Claude to read your WHOOP health data including recovery, sleep, strain, and workouts through the official WHOOP API, so you can ask natural language questions about your fitness metrics.7-
- FlicenseNot gradedqualityBmaintenanceProvides read-only access to Whoop recovery, sleep, strain, workouts, and profile data, allowing users to query their Whoop metrics through natural language in Claude.-
- AlicenseNot gradedqualityDmaintenanceEnables Claude to read your Whoop recovery, sleep, cycle, and workout data through natural language queries.196 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables Claude to read your WHOOP recovery, sleep, strain, and workout data.196 npmMIT
- FlicenseAqualityBmaintenanceProvides Claude Desktop with access to WHOOP fitness data including recovery, sleep, strain, and workouts.41-
TDQS
Scored across 6 tools
Each tool addresses a distinct WHOOP domain (recovery, sleep, strain, workouts, profile, training recommendation) with no overlap. The descriptions clearly differentiate the data each returns, making it easy for an agent to select the correct tool for a given question.
All tool names follow a consistent 'get_' prefix with a noun representing the data type (recovery, sleep, strain, etc.). This is predictable and clear. The only minor deviation is the slightly longer 'get_training_recommendation' compared to the others, but it still fits the pattern.
With 6 tools, the set is well-scoped for a WHOOP fitness tracker integration. Each tool represents a core data category a user would query, and there are no extraneous or missing tools that would make the surface too large or too small for the domain.
The tools cover the most common queries about WHOOP data: recovery, sleep, strain, workouts, profile, and training recommendations. A minor gap is the lack of tools to query cycle/physiological data, meal logging, or team features, but the core personal health metrics are well represented.