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Slipstream Extended

Slipstream Extended

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    • A
      license
      A
      quality
      B
      maintenance
      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.
      21
      394 npm
      2
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Connects Garmin Connect to AI assistants, answering questions about training, sleep, HRV and recovery with metrics computed in code rather than guessed from raw JSON. Queries daily readiness, training load, activity FIT analysis and personal records through a self-hosted Cloudflare Worker with OAuth.
      23 npm
      7
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      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
      166
      AGPL 3.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Syncs your own Garmin Personal API data into a local SQLite archive and lets any MCP-capable AI assistant query sleep, HRV, stress, body battery, training and activity trends through natural language, with optional interactive charts. Everything runs locally with your own API key, so private health data stays on your machine.
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to query live Garmin Connect health and fitness data, including daily metrics, activities, sleep analysis, and trends via natural language.
      MIT
    • A
      license
      C
      quality
      A
      maintenance
      Garmin Connect for AI assistants: sleep, HRV, training readiness, activities, workouts and weight across 193 tools. Unofficial; run it locally or use the free hosted connector.
      198
      734 npm
      3
      MIT