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by ctvidic • Healthcare & Bioinformatics
An MCP server that lets language models query Whoop workout, cycle, recovery, and strain data via the Whoop API.
Retrieve a user's cycle or menstrual data for a specific date range to provide personalized health insights.
Fetch recovery and strain metrics (or compute average strain) to give training or recovery recommendations.
Expose Whoop data to conversational systems (e.g., Claude) or external services via an HTTP API for automation and reporting.
This project implements a Model Context Protocol (MCP) server exposing Whoop API data (cycles, recovery, strain, workouts, and profile) to language models and agents. It supports direct integration with Claude (desktop) as well as an HTTP API server with the same endpoints. The server uses email/password authentication against Whoop and returns human-readable error messages for common issues like invalid dates or authentication failures. It's packaged as an MIT-licensed Python project and includes scripts and configuration examples to get started quickly.
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