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    Enables querying your own Garmin Connect health, sleep, training, and activity data, and creating or scheduling workout plans through natural language conversation.
    35
    MIT
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    Enables AI agents to read and analyze your Kilter Board logbook, including sessions, sends, projects, and grade progress, entirely read-only.
    9
    47 PyPI
    2
    MIT
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    Enables MCP-capable AI agents to read Zepp/Amazfit data, including workouts with GPS/HR/power tracks, splits, daily activity, sleep, readiness, HRV, PAI, stress, SpO2, and devices.
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    MIT
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    Enables agents to read Mi Band health records from a computer, providing recent status, daily reports, historical details, and data sync via Gadgetbridge and USB, with agent-guided setup.
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    AGPL 3.0
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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.
    23
    107 npm
    MIT
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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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    4 npm
    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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    21 npm
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    An MCP server that exposes Strava v3 API as read-only tools for AI agents. It covers athlete profiles, activities, stats, routes, segments, and rate limits, with OAuth2 authorization handled via a companion HTTP server.
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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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    MCP server that connects AI agents to Intervals.icu, enabling access to training data such as activities, wellness metrics, calendar events, gear, power curves, and custom items. Includes a running coach AI template for automated post-session analysis.
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    31 npm
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    Enables AI agents to interact with a personal YAZIO nutrition diary, including searching products, reading and writing diary entries, and analyzing nutrition trends.
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    287 npm
    MIT
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    Provides AI agents with access to Hevy workout data, allowing them to manage workouts, routines, exercises, and body measurements through a Dockerized SSE endpoint.
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