rajdeepmondaldotcom/whoop-mcp-server

Overview

An MCP server that lets AI assistants query WHOOP wearable data. It exposes WHOOP metrics like recovery, strain, and sleep through the Model Context Protocol. Built in Python, it acts as a bridge between an AI agent and the WHOOP API.

Best for

Best for
Developers building AI assistants that need to answer questions about WHOOP fitness data

Use cases

• Ask an AI about your recovery score
• Query sleep data through natural language
• Integrate WHOOP data into an AI-powered health dashboard

Notes

An MCP server that lets AI assistants query WHOOP wearable data. It exposes WHOOP metrics like recovery, strain, and sleep through the Model Context Protocol. Built in Python, it acts as a bridge between an AI agent and the WHOOP API.

0 stars on GitHub. Last updated 2026-06-12. Licensed MIT.

Use cases

• Ask an AI about your recovery score
• Query sleep data through natural language
• Integrate WHOOP data into an AI-powered health dashboard

Pros

• Connects WHOOP data to any MCP-compatible AI assistant
• Simple Python setup for developers familiar with MCP
• Provides structured access to fitness metrics

Cons

• Requires a WHOOP account and API credentials
• Zero stars suggests minimal community validation
• Tied to the MCP ecosystem; not usable with standard REST clients

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.