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    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.
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    84 npm
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    MIT
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    Provides local MCP tools to query your own Xiaomi Mi Fitness health data (sleep, workouts, heart rate, etc.) stored in a local SQLite database, enabling AI assistants to access personal health records without exposing credentials.
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    AGPL 3.0
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    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.
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    MIT
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    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.
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    MIT
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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.
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    95 PyPI
    MIT
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    Read-only MCP server enabling natural language querying of personal health and cultural activity scores from the health.ojimpo.com dashboard via Claude.
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    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.
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    MIT
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    Enables AI assistants to query a user's own Garmin Connect training, health, and recovery history through Garmin's official Personal API, backed by a local cache and built-in analysis tools.
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    379 npm
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    Apache 2.0
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    A read-only MCP server for the WHOOP API v2 that lets you query and analyze your own recovery, sleep, strain, cycles, and workout data. Note: currently a pre-alpha scaffold with stubbed internals.
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    Enables AI agents to sync WHOOP recovery, sleep, workouts, cycles, and body-measurement data into a local Postgres database and query it through fast, offline-capable MCP tools without repeatedly hitting WHOOP API rate limits.
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    MIT
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    Gives Claude access to your WHOOP health data including recovery, sleep, workouts, cycles, body measurements, and profile via the WHOOP Developer API.
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    16 npm
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    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.
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    71 npm
    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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    44 npm
    MIT
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    An MCP server and CLI for logging food to Lose It!, enabling food search, diary management, meal logging, and weight recording via unofficial API.
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    BSD Zero Clause
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    Enables MCP-capable AI apps to query a user's own Garmin sleep, HRV, stress, Body Battery, heart-rate, activity, and body-metric data through Garmin's official Personal API in a read-only, locally run setup.
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    266 PyPI
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    Enables AI agents to query Matrix / Johnson Fitness ride history, exposing per-10-second power, cadence, resistance and heart-rate samples plus cross-ride views like power curves, training volume, and ride comparisons. Runs over a cached history downloaded without credentials, or signs in once to refresh it.
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    569 npm
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    A local MCP server that caches Garmin Connect data in SQLite for fast, read-only queries, with tools for bulk import, rate-limited sync, and failure alerts.
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    MIT
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    Connects AI agents to Iridium fitness data to query workout history, nutrition logs, and body measurements. It enables users to track exercise progress, training volume, and personalized trainer analysis through natural language.
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    Hosted MCP server that syncs health data from Apple Health, Fitbit, Oura, and Google Health Connect, enabling Claude and ChatGPT to query workouts, sleep, nutrition, and recovery in plain English with interactive charts.
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    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.
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    Exposes real-time health data from the Ultrahuman Ring to AI agents via the Model Context Protocol, providing optimized summaries with trend analysis and actionable insights.
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    MIT
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    Connect MyFitnessPal to Claude or any MCP client. Log meals, search food database with macros, track trends, and export nutrition history against your real MyFitnessPal diary.
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    557 PyPI
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    MIT
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    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.
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    454 npm
    MIT