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    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.
    15
    1
    MIT
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    A Model Context Protocol (MCP) server that provides comprehensive access to Garmin Connect data including sleep analytics, health metrics, activities, and training volume analysis.
    16
    67 npm
    8
    MIT
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    An MCP server for Garmin Connect that provides access to fitness activities, health statistics, and sleep data by routing requests through a headless browser to bypass API restrictions. It enables users to query detailed metrics like heart rate zones, body battery, and GPS tracks using any MCP-compatible client.
    41
    79 npm
    45
    AGPL 3.0
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    Enables users to describe workouts in plain English and have them created as structured Garmin Connect workouts with pace, HR, power, cadence targets, and repeat blocks. Also provides full workout lifecycle management including listing, updating, deleting, and scheduling to the calendar.
    8
    43 npm
    MIT
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    Enables an MCP client to read and write a personal Garmin Connect account: activities with per-set strength detail, daily health metrics (sleep, HRV, stress, steps, readiness), planned and completed workouts, and weigh-ins with body composition. It also logs finished strength sessions and body-composition readings as FIT files so they appear in Garmin Connect like natively recorded ones.
    38
    129 PyPI
    1
    MIT
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    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.
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    67 npm
    MIT
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    An MCP server that provides access to Garmin Connect fitness, health, and training data through 61 specialized tools. It enables users to query activities, sleep metrics, and performance stats directly within AI clients like Claude or Cursor.
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    222 npm
    187
    MIT
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    MCP server that connects Garmin Connect to Claude Desktop, allowing users to query health and fitness data (sleep, workouts, heart rate, HRV, stress, Body Battery, etc.) in plain English and also log weight, hydration, and schedule workouts.
    25
    1
    MIT
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    An MCP server that gives LLMs access to Garmin Connect data, including training, recovery, sleep, stress, VO2 Max, and running summaries for personalized fitness advice.
    24
    337 PyPI
    1
    MIT
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    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.
    43
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    Gives any MCP client local access to Garmin Connect sleep and nap data, recovery and Body Battery, training readiness and load, running tolerance, VO2 Max, race predictions, gear mileage and running summaries. It runs over stdio or Streamable HTTP and includes a credential-free demo mode with fictional sample data.
    2
    MIT
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    Connects AI agents to Garmin Connect so they can read fitness data (activities, sleep, steps, heart rate, weight, workouts, profile) and schedule or manage Garmin Calendar workouts with an explicit confirmation flow.
    67 npm
    MIT
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    Enables Claude and any MCP client to read a user's own Garmin account in plain language, covering activities, time-series charts, thresholds, sleep, HRV, Body Battery, stress, readiness and trends. It also serves a private local dashboard that downloads the full training and health history, correlates metrics across views, and exports any table as CSV.
    MIT
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    Enables MCP clients to list a user's registered devices and fetch blood pressure, weight, and body composition measurements — historical or latest — from their OMRON account. Authenticates with email/password and caches a refresh token for subsequent runs.
    GPL 2.0
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    Connects Garmin Connect data to MCP-compatible clients, providing access to fitness activities, health metrics, and training plans. It supports advanced features like headless 2FA and automated MFA retrieval to enable seamless health data interaction through natural language.
    1
    MIT
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    A personal remote MCP gateway that exposes Garmin Connect, Home Assistant, and YouTube as MCP servers over HTTP, allowing Claude or any MCP client to query and control them from anywhere without local credentials. It includes a web UI for managing credentials and issuing API keys, with authentication delegated to an external SSO.
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    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.
    9
    1
    MIT
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    Exposes personal Garmin Connect data to MCP-capable clients like Claude and Gemini. Enables querying daily stats, heart rate, sleep, activities, and managing workouts.
    16
    MIT
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    Enables read-only access to a user's own Garmin data, including activities and FIT streams, sleep, HRV, Body Battery, stress, weight, and daily wellness metrics, via the Garmin Connect Personal API.
    19
    MIT
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    Enables MCP clients such as Claude to query Fitbit and Pixel Watch health data — sleep, steps, heart rate, HRV, workouts, weight and nutrition — through the Google Health API, with built-in OAuth 2.0 sign-in and multi-user access so it can be hosted remotely and reached from web, desktop and mobile.
    MIT
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    Exposes your own Garmin Connect activity, health, and training data as read-only MCP tools, covering activities, workouts, sleep, heart rate, HRV, stress, body battery, weight, and women's health. Most tools use Garmin's official Personal API key, with a clearly labeled unofficial fallback for data the official API doesn't yet cover, such as training readiness and VO2 max.
    MIT