"Y Combinator" matching MCP servers:

Provides read-only access to Nolio training data including planned workouts, completed sessions, metrics, records, and notes.

Enables building and uploading structured workouts to Garmin Connect using YAML or natural language, supporting running, cycling, and strength with zones and circuits.

A TypeScript server that acts as a bridge to the Strava API, enabling LLMs to access users' activities, routes, segments, and athlete data through natural language interaction.

Enables users to search and retrieve fitness exercise information from the Api Ninjas database. It supports filtering by exercise name, target muscle, type, and difficulty level.

Enables Claude Code to securely read your Garmin Connect health, training, and workout data through a local stdio server, with an optional allow-listed path for creating and scheduling workouts.

MCP server for workout-file conversion: convert, validate, and inspect FIT, TCX, ZWO, and Garmin Connect files, with round-trip-safe conversions through the KRD canonical JSON format. Runs locally over stdio via npx -y @kaiord/mcp. Part of the open-source, local-first Kaiord training platform.

Enables LLM clients to access authorized Xiaomi Mi Fitness health data, including sleep, heart rate, and steps, through an MCP server deployed on Cloudflare Workers.

MCP server that exposes health metrics from the Sapphire Wellness App to AI assistants, enabling natural language queries for activity, blood pressure, glucose, heart rate, sleep, and SpO2 data.

MCP server that wraps the Whoop API v2 to let Claude Code pull workouts, sleep, and recovery data.

Exposes Garmin Connect health and activity data (steps, sleep, heart rate, etc.) via MCP tools, with built-in login and MFA support.

This MCP server provides read-only access to your local Garmin Connect history, enabling Claude to query workouts, sleep, training load, fitness scores, records, and gear via natural language. It uses a sync script to pull data into a local SQLite database, ensuring privacy and offline operation.