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    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.
    6
    95 PyPI
    MIT
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    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.
    7
    MIT
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    Provides read-only access to Withings health metrics including body composition, sleep, workouts, and ECG data with local SQLite caching and trend analysis. Features incremental synchronization, automatic OAuth token refresh, and supports all 200+ Withings measurement types for comprehensive health tracking.
    8
    567 PyPI
    1
    GPL 3.0
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    Enables creating, previewing, scheduling, and managing Garmin Connect workouts, plus reading activities and health metrics, all through a local MCP server.
    11
    MIT
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    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.
    18
    367 npm
    3
    MIT
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    MCP server that connects AI agents to Intervals.icu, enabling access to training data such as activities, wellness metrics, calendar events, gear, power curves, and custom items. Includes a running coach AI template for automated post-session analysis.
    19
    34 npm
    1
    MIT
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    Enables connecting your own Google Health account to an MCP client through local OAuth, exposing 17 read-only tools for metric discovery, daily and recent summaries, trends, sleep, activity, recovery, body metrics and data quality. All access is observation-only, with request bounds and no create, update or delete capabilities.
    17
    MIT
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    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.
    16
    20 npm
    16
    MIT
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    Downloads all your Garmin health and fitness data into a local SQLite database and exposes 45 MCP tools for AI analysis, enabling assistants to query sleep, training load, HRV, and more.
    48
    107 PyPI
    170
    AGPL 3.0
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    Provides local, Keychain-secured access to all 26 Garmin Connect Personal API GET endpoints plus 8 summary tools. Enables users to query sleep, HRV, Body Battery, activities, profile, weight, and other connected health data through their own Personal API key.
    34
    1
    Apache 2.0
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    Enables MCP clients to access and manage Intervals.icu training data, including activities, calendar events, wellness metrics, power curves, gear, and custom items, with zero-config interactive authentication.
    45 npm
    MIT
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    Enables LLMs to read and write Hevy workout tracking data, including workouts, routines, exercise templates, per-exercise history, and body measurements through all 15 Hevy public API endpoints.
    10 npm
    MIT
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    Enables users to ask ChatGPT or Claude where a runner or cyclist is in a live race, how the race is going, and what the weather along the course will be, returning live maps and 3D route flyovers inline in the chat. Also surfaces cycling tour day-by-day routes, GPX links and organiser notes, all read-only and free.
    MIT
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    A local MCP server that connects Claude to the WHOOP Developer API, allowing natural language queries about recovery, sleep, strain, workouts, and body measurements. All data stays on your machine with read-only access.
    1
    MIT
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    Enables ChatGPT or another MCP client to query a self-hosted, email-restricted Garmin Connect running archive — latest and listed runs, lap and chart details, run comparisons, trends, recovery and training context — all served read-only from a Cloudflare Worker cache with one explicit, rate-limited manual refresh. Garmin credentials are never stored, and no tool can modify the Garmin account.
    MIT
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    A unified MCP server that connects AI assistants to multiple fitness services (Hevy, Strava, Cronometer, Intervals.icu) through a single secure endpoint, enabling workout, nutrition, and activity data access.
    MIT
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    Integrates with Intervals.icu, Whoop, and TrainerRoad to provide unified access to fitness data, including completed workouts, recovery metrics, planned training, and performance trends across all sports.
    28 npm
    MIT
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    Python MCP server for the Hevy fitness app. Gives Claude full access to your Hevy data. Log workouts, manage routines, track body measurements, browse exercises, and more. Covers all 25 endpoints of the official Hevy API.
    MIT
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    Enables users to estimate VO2max from heart-rate ratios or Cooper 12-minute run distances, benchmark results against ACSM age and sex medians, and derive cardiorespiratory fitness biological age and all-cause mortality hazard ratios.
    7
    MIT
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    Enables logging meals, tracking calories and macros, reviewing daily and range summaries, setting weight goals, searching foods and recipes, and getting meal suggestions from any Claude client, with optional multi-user household support. Includes a local food database for items missing from FatSecret and OAuth-based authentication to FatSecret profiles.
    MIT
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    A read-only MCP server that gives AI assistants like Claude, Codex, and GitHub Copilot access to your WHOOP recovery, sleep, HRV, strain, and workout data. It enables natural-language queries about daily readiness, personal baselines, trends across periods, sleep debt, and HYROX or triathlon performance, all without manually exporting data.
    19 npm
    MIT
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    Lets Claude read recent training history and wellness signals, then design structured workouts and write, edit, or remove them on an intervals.icu calendar so they sync through to a Garmin watch. It brokers all of this through intervals.icu's documented API, so no Garmin credentials are ever shared.
    MIT
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    Enables MCP clients to read the user's own Garmin data—including activities, sleep, HRV, Body Battery, stress, steps, heart rate, and weight—through Garmin's official Personal API, with all 26 endpoints exposed as read-only tools.
    44 npm
    MIT
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    Enables users to plan, log, and analyze workouts conversationally through Claude or ChatGPT, with all changes recorded via the official openGym API and synced across their devices.
    AGPL 3.0
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    Enables reading Apple Watch workouts and vitals from a local Health Access folder and writing validated training plans back into it as plain files, all through a local stdio MCP server with no account or network.
    MIT
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    Offline MCP server for logging workouts, tracking dietary macros, and retrieving daily summaries, all stored in local SQLite. Enables fitness tracking via natural language in MCP-compatible clients.
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