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  • Mi Fitness Data Bridge

    shkyyy18
    A
    license
    C
    quality
    A
    maintenance
    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.
    15
    4
    AGPL 3.0

  • google-health-mcp-server

    madfreakz
    A
    license
    A
    quality
    B
    maintenance
    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.
    5
    MIT

  • mcp-server-whoop

    Yadheedhya06
    A
    license
    A
    quality
    A
    maintenance
    A local-first, read-only MCP server that provides compact recovery, sleep, strain, HRV, heart-rate, workout, and body-measurement data from WHOOP without sending credentials to a third party.
    5
    67
    1
    MIT

  • health-mcp

    danielv27
    F
    license
    A
    quality
    C
    maintenance
    Provides a unified MCP interface to a personal health database, enabling AI agents to sync lifting workouts from Hevy, log food intake against a catalog, and run read-only SQL queries to cross-reference training and nutrition data.
    6

  • Health MCP Server

    Marholoubek
    A
    license
    A
    quality
    F
    maintenance
    Aggregates and analyzes fitness data from multiple sources like Whoop and Strava through a modular adapter architecture. It enables users to monitor health metrics, track activities, and gain insights into sleep, recovery, and training performance.
    1
    MIT

  • MCPacer

    wernerpe
    A
    license
    A
    quality
    D
    maintenance
    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.
    32
    10
    MIT

  • ultrahuman_mcp

    crixalis17
    F
    license
    A
    quality
    D
    maintenance
    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.
    7

  • Google Health MCP

    davidmosiah
    A
    license
    A
    quality
    A
    maintenance
    A local-first MCP server that enables AI agents to read user-authorized Google Health API v4 data from Fitbit, Pixel Watch, and partners via OAuth, with tokens never leaving the machine.
    26
    810
    40
    MIT

  • Strava MCP Server

    r-huijts
    A
    license
    A
    quality
    D
    maintenance
    A TypeScript server that acts as a bridge to the Strava API, enabling LLMs to access users' activities, routes, segments, and athlete data through natural language interaction.
    24
    262
    464
    MIT

  • oura-mcp

    AntVsl
    A
    license
    B
    quality
    B
    maintenance
    MCP server for accessing Oura Ring data from Claude Code and claude.ai, providing summarized health metrics and raw API data.
    11
    MIT

  • garmin-athletics-mcp

    danielmcewan
    A
    license
    B
    quality
    C
    maintenance
    A private, read-only MCP server that gives local Codex and Claude Desktop sessions access to athletics and wellness data from a Garmin Forerunner 55. It runs locally over stdio, exposes read-only tools for daily health, recovery, performance, and workouts, and caches data in SQLite.
    8
    MIT

  • Strava MCP Server

    tomekkorbak
    A
    license
    B
    quality
    F
    maintenance
    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.
    4
    22
    MIT

  • Mi Fitness MCP CN

    binglua
    A
    license
    C
    quality
    B
    maintenance
    Enables reading and syncing Xiaomi Mi Fitness health data (steps, heart rate, sleep, workouts) from the Chinese cloud region to a local SQLite database via MCP tools.
    10
    3
    MIT