"Guidance on operating Linux and installing services" matching MCP servers:

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

MCP server for tracking nutrition meals and workouts, integrating with claude.ai to manage food logs, macros, exercise catalogs, and generate daily/weekly summaries.

Enables an agent to fetch one night of Eight Sleep data as ready-made text — scores, sleep stages, HRV, heart and respiratory rate versus your averages, and bed/room temperatures — plus short summaries of earlier nights for a morning check-in. Read-only, so nothing on the mattress can be changed.

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.

Daash connects Garmin Connect to ChatGPT and Claude. Your assistant reads your runs, splits, sleep, HRV, Body Battery and recovery, and writes structured workouts and whole training plans to your Garmin calendar, so they're on your watch at the next sync. Free, hosted, open source. Works on free Claude.

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.

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.

This server lets Claude, Cursor, or any MCP client read a user's own health and fitness data through 26 read-only tools for activities, sleep, HRV, Body Battery, stress, steps, heart rate, weight, nutrition, and women's health. It connects via the official Personal API and can be self-hosted for free on Vercel.

Enables Claude Code to publish, update, and delete planned workouts on Intervals.icu, which syncs them to athletes' Garmin Connect calendars and watches. Also lets users list authorized athletes, review recent activities and scheduled workouts, and confirm changes before they reach the device.

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.

Garmin Connect for Claude and any MCP client, on Garmin's official Personal API. Read-only access to sleep, HRV, Body Battery, stress, heart rate, activities and weight with a revocable key, no password or scraping.

Read-only MCP server that exposes Apple Health data (steps, workouts, sleep, etc.) from a local SQLite store, allowing AI agents to query health metrics without sending data to hosted services.

Enables an AI assistant to read your own Oura Ring data—sleep, readiness, activity, heart rate, SpO2, stress, workouts, and sessions—so you can ask natural-language questions and get summaries. It fetches data on demand from the Oura API v2, is read-only, and does not store or share data.

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.

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.

Lets Claude build structured runs, strength sessions, and multi-week training plans — including race and high-school track blocks — and publish them through a feed that an iPhone app schedules onto the Apple Watch via WorkoutKit. It also reads recent Strava activities and sync status so plans can be sized to real fitness and confirmed as actually on the wrist.

Enables Claude to read your own Garmin Connect data—activities and exact pace splits, VO2 max and training effect, sleep, HRV, Body Battery, stress, weight and more—through Garmin's official Personal API, with no password or scraping. Access is read-only and runs entirely on your machine, so you can ask natural-language questions about training and recovery.

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.

Enables access to WHOOP fitness and health data through all WHOOP v2 API endpoints. Supports OAuth 2.0 authentication and provides comprehensive access to user profiles, physiological cycles, recovery metrics, sleep analysis, and workout data.

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.

Enables Claude to ingest a local Samsung Health export into DuckDB and query monthly trends, period comparisons, trips, sleep timing, activity profiles, workouts, and custom read-only SQL while keeping raw data on the user's machine. It also generates a dashboard artifact with actionable next steps based on the user's aggregates.

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.

A Model Context Protocol server that provides language models with access to Strava API data, allowing them to query and analyze athlete activities from Strava.

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 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.

Enables discovering public sports events without sign-in and, after OAuth consent, reviewing athlete activity, operating events, and analyzing box demand, occupancy, attendance, training load, and reports through Antigravity or Gemini CLI.