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  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.
    AGPL 3.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    A read-only MCP server that synchronizes Garmin Connect summaries into a local SQLite cache and provides tools to query daily activity, recent activities, and recovery data.
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    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
    53 PyPI
    GPL 3.0
  • A
    license
    A
    quality
    A
    maintenance
    Ask your Oura Ring about sleep, readiness, activity, stress and heart rate in ChatGPT or Claude, in any language. Read-only, 10 task-oriented tools; runs in a sandbox demo mode with no credentials.
    10
    17 npm
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    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.
    8
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Provides Claude Code and Claude Desktop with safe, read-only access to your local Garmin training data, readiness decisions, run details, and trends so you can get coaching advice in natural language.
    13
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables AI agents to read and analyze your Boardsesh climbing logbook across boards like Kilter, Tension, and MoonBoard, with read-only access and optional credentials for personalized recommendations.
    12
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    Provides read-only access to your Garmin Connect health data, including sleep, HRV, body battery, stress, training readiness, and activities, through an MCP server.
    14
    -
  • A
    license
    A
    quality
    A
    maintenance
    Enables AI agents to read and analyze your Kilter Board logbook, including sessions, sends, projects, and grade progress, entirely read-only.
    9
    2
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Read-only MCP server enabling natural language querying of personal health and cultural activity scores from the health.ojimpo.com dashboard via Claude.
    5
    7 npm
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    MCP server for Bosch eBike Flow (Smart System / BES3). Read-only access to battery health and charge-cycle trends, components and firmware, live state-of-charge, and per-ride activity data (distance, elevation, power, assist-mode, CO2), signing in with your own Bosch account via PKCE.
    12
    76 PyPI
    GPL 3.0
  • A
    license
    A
    quality
    D
    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
  • A
    license
    A
    quality
    C
    maintenance
    Enables Claude to access your personal Strava data read-only, including activities, splits, heart-rate and pace streams, zones, and lifetime totals, so it can coach from real training without manual exports.
    6
    MIT
  • 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
    34 npm
    1
    MIT