"MCP Bybit Server Repository on GitHub" matching MCP servers:

Enables AI agents to securely access Apple Health data (sleep, heart rate, menstrual cycle, etc.) via end-to-end encrypted local decryption from the Tether iOS app.

Connects AI assistants to SmartGym on Mac, enabling users to review workouts, tweak routines, and build training programs in plain English, with changes syncing to iPhone and Apple Watch.

MCP server that connects Claude or any MCP-capable LLM to your Garmin golf data, enabling natural-language queries on rounds, shots, strokes gained, club distances, course intel, and health-performance correlations from a private local DuckDB cache.

Connect Garmin to Claude or ChatGPT. Ask about your runs, sleep and recovery, and put structured workouts and whole training plans on your watch. Run it locally, or use Daash's hosted server with OAuth: no install.

An MCP server that provides access to detailed exercise-to-muscle mapping data for over 320 exercises and 65 muscles. It enables users to analyze workout coverage, find exercise alternatives based on muscle overlap, and search for specific exercise activation data.

Local-first MCP server that reads Apple Health export files (export.xml/zip) and exposes activity, sleep, HRV, and workout data to AI agents, keeping all data on your machine.

An MCP server for authoring and managing structured workouts (SuuntoPlus™ Guides) on Suunto watches, with swappable transports (file, Cloud API, or private mobile API) and a coach-oriented domain model that lowers to the display-oriented guide format.

Open-source Apple Health MCP server. Brings your sleep, heart rate, HRV and workout data from the Mibly iPhone app into Claude, Codex or any MCP agent, stored encrypted on your own machine.

Trainzilla MCP connects Claude to your Trainzilla coach account, turning your client roster, programming, and habit tracking into something you can manage conversationally. Built for fitness coaches running their practice on Trainzilla, it lets Claude pull up client profiles and metrics, build and review workout and diet plans, create and assign habits, run quick calculations (TDEE, macros, 1RM),

Read your Samsung Health CSV/ZIP exports — activity, sleep, heart, stress — locally. It is a local-first MCP server that keeps your tokens on your machine.

Turns any AI assistant into a physiological AI running coach by abstracting fitness APIs and exposing 70+ structured analytical MCP tools based on endurance models.

Enables AI assistants to read, log, edit, and analyze workouts, routines, body weight, media, and personal records on a self-hosted openGym instance through its own HTTP API. Writes are scoped to requested changes with automatic backups and conflict detection, and tools are grouped into read, write, delete, and admin permission tiers.

Integrates with Garmin Connect to retrieve activity data, health metrics, and provide AI-powered training insights and personalized coaching recommendations based on your fitness activities and performance trends.

A Model Context Protocol server that integrates Garmin Connect data with LLMs to provide personalized running analysis and training plans. It enables users to monitor performance metrics, manage training loads, and receive data-driven workout suggestions based on health indicators like VO2 Max and recovery status.

Local-first MCP server that connects AI agents to your Garmin sleep, HRV, Body Battery, stress, training readiness and activities, keeping tokens on your machine.

Enables querying health data from the Health Auto Export app on iPhone/iPad via MCP, allowing LLMs like Claude to access and analyze personal health metrics.

Official JustGains MCP server: lets AI agents build and save workouts, read training history and progress, search exercises, plan routes, and log meals and bodyweight in a JustGains account. A TypeScript stdio server on the MCP SDK with OAuth sign-in, serving the same tools as the hosted JustGains endpoint.

Enables Claude to access MyFitnessPal diary data through a stateless OAuth MCP endpoint deployed on Vercel.

Enables reading training history and planning complete workouts on a personal calendar, including exercises with videos, sets, reps, per-set weights, supersets, notes, and block instructions. It also supports searching the exercise library, copying or moving sessions, and retrieving performance stats, personal records, and feedback.

Enables Claude, Codex, and GitHub Copilot users to query read-only WHOOP recovery, sleep, HRV, strain, workouts, and personal health analytics through natural language. It provides baselines, trends, readiness insights, and local dashboard views without modifying the user's WHOOP account.