"An overview of end-to-end testing" 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.

Enables ChatGPT and compatible AI clients to query read-only Garmin Connect data—including sleep, HRV, heart rate, Body Battery, wellness metrics, and activities—through a hosted OAuth-backed MCP connection using a personal API key.

Enables MCP clients to query read-only Oura health data—readiness, sleep, HRV, activity, stress, heart rate and tags—through combined daily overviews, multi-day trends and aggregated heart-rate series. Authentication stays local via OAuth with PKCE, graceful handling of unavailable data types, and an optional sandbox of public sample data.

An MCP server that converts structured cycling workout specs into MyWhoosh .zwo and Garmin Connect workout files, with tools for validation, description, and rendering. It also includes skills for uploading workouts to both platforms.

Enables retrieval of InBody body composition data including profile, scan history, and full metrics via MCP tools.

An MCP server that lets Claude plan cycling training in intervals.icu, upload workouts to the calendar, and review planned versus actual outcomes, fitness trends, and power curves.

Provides read-only access to Oura ring biometrics via the Oura API, enabling Claude to query daily summaries, sleep, readiness, stress, workouts, baselines, and heart rate data. Designed to complement a Strava connector for joint analysis of training and recovery.

Query Apple Health export data with an LLM via a semantic layer that avoids common data traps, enabling accurate natural-language queries about health metrics. Optionally imports CPAP therapy data for correlation.

Exposes the Oura API v2 as an MCP server with tools to query all 19 data collections (e.g., sleep, heartrate) with automatic pagination and explicit truncation warnings.

Provides read-only access to your Garmin Connect health data, including sleep, HRV, body battery, stress, training readiness, and activities, through an MCP server.

Enables AI assistants to interact with Intervals.icu fitness tracking and wellness data, allowing users to fetch, filter, and group activities or health metrics. It provides structured summaries of workouts and physical well-being through natural language queries.

Query your Apple Health data including sleep, heart rate, steps, workouts, and more by ingesting an exported XML archive into a local SQLite database.

Read-only MCP server enabling natural language querying of personal health and cultural activity scores from the health.ojimpo.com dashboard via Claude.

An MCP server that transforms Garmin data into compact, verdict-first coaching reports for LLMs, computing metrics like CTL/ATL/TSB and ACWR to answer training readiness questions.

Enables an LLM to search a movement library, log single-movement and multi-movement workout results, and pull complete logged training history plus PR trends for Beyond the Whiteboard straight from a chat. All logged entries are posted privately, and session authentication can refresh automatically.

MCP server to read daily activity, sleep, heart rate, and body metrics from Google Health API, allowing AI assistants like Claude to access your health data. Optionally syncs health metrics to an Obsidian vault.

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 read-only access to RENPHO Health smart scale measurements through MCP, allowing users to retrieve latest readings, body composition history, and weight trends via an MCP client.

Brings Garmin training data into Claude via Intervals.icu, enabling querying of activities, wellness, and planned workouts, as well as creating structured workouts that sync back to the Garmin watch.

An MCP server that exposes the Hevy fitness API as 22 tools, enabling AI agents to manage workouts, routines, exercise templates, and body measurements through natural language.

A Model Context Protocol server for TrainingPeaks with an analytics focus — enabling real-time querying of training data, performance trends, CTL/ATL/TSB analysis, and training load optimization through Claude Desktop.

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.

An MCP server and CLI for logging food to Lose It!, enabling food search, diary management, meal logging, and weight recording via unofficial API.

Provides AI assistants with read-only access to an athlete's Intervals.icu training data, including activities, wellness metrics, zones, and planned events, for use with MCP clients like ChatGPT and Claude.

Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.

Provides read-only access to a China-region Garmin Connect account, enabling retrieval of daily summaries, sleep, heart rate, HRV, training readiness, body battery, and activity data.

Enables read-only querying of your own Garmin Connect data — sleep, HRV, resting HR, Body Battery, activities, training volume, body composition, and nutrition — through Garmin's official Personal API using a revocable key. Returns compact, unit-labelled JSON shaped around questions so whole date ranges fit in context.

Enables AI assistants to access and modify a user's real GymTimer workout and nutrition data stored in private iCloud, allowing natural-language queries about training history and the creation of workout templates and meal plans.

An AI-powered running coach that connects Claude to your Strava data, providing personalized training plans, progress tracking, and coaching feedback through a web dashboard.

Enables an AI client to query one AimHarder account for classes, participants, workouts, bookings, personal activity, and strength records, and to make or cancel bookings and save or delete PRs after explicit confirmation.