#fitness

MCP server for interacting with the Whoop API to retrieve fitness and health data

An MCP server implementation for the WHOOP API

trainedby.ai - Your AI fitness coach, but with actual data Connect your wearables (Garmin, Oura, Whoop, Apple Health, 50+ platforms) to ChatGPT or Claude. Your AI coach finally knows your real training load, sleep, and recovery—without you typing a word. The Problem People use ChatGPT for marathon training, strength programs, and fitness planning. It's knowledgeable and available 24/7. But every conversation starts from zero. You describe your fitness level, paste Garmin screenshots, try to remember last week's workouts and how you slept. The advice is based on what you told it, not what actually happened. The Solution trainedby.ai connects your wearables directly to your AI assistant. When you open ChatGPT and ask about training, it already knows: Recent workouts (weeks, months, year) Sleep quality and patterns HRV and resting HR trends Recovery metrics and training load Nutrition and cycle data (if tracked) No context dumps. No guessing. Just real data. How It Works Smart compression turns raw wearable data into trends AI can understand—elevated RHR, declining HRV, poor sleep consistency. Data rolls up from days → weeks → months → years. Add notes for goals, injuries, and availability. Then just chat. Free to use. Connect wearables, add to your AI, start training smarter.

A Model Context Protocol (MCP) server that brings your Withings health data into MCP client. Access your sleep patterns, body measurements, workouts, heart data, and more through natural conversation. 🔒 Privacy First: This is my personal project, and the repository is intentionally public to demonstrate transparency. The code shows that no personal information is logged or stored maliciously. All sensitive data (tokens, user IDs) is encrypted at rest and automatically redacted from logs. You can review the entire codebase to verify this commitment to privacy. ⚠️ Disclaimer: This server is provided as-is without any guarantees or warranties. While I've made every effort to ensure security and privacy, I make no guarantees about availability, data integrity, or security. Use at your own risk. For production use cases, consider self-hosting your own instance.

A TypeScript MCP Server for interacting with Hevy Workout App in LLMs

Simple MCP server to provide health related metrics

MCP Server for workout info

A simple MCP server using the Ultrahuman API to retrieve fitness data from your ring and query information about it from your favorite LLM. You can get info about your sleep, breath, hearth rate, steps and many more info.