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"Information about 'Firma' and Its Context" matching MCP servers:

  • garmin-mcp

    NoaMatout
    A
    license
    A
    quality
    B
    maintenance
    MCP server that lets you ask questions about your Garmin training history in plain language. It ingests FIT files into DuckDB locally and exposes typed tools for analyzing activities, streams, and summaries.
    9
    MIT

  • Oura-MCP

    Rajskij
    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
    20
    1
    MIT

  • apple-health-semantic-mcp

    Barbaroso
    A
    license
    A
    quality
    B
    maintenance
    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.
    3
    MIT

  • cadence

    rajanshxrma
    A
    license
    A
    quality
    B
    maintenance
    Provides Claude with real-time access to local health data including sleep, recovery, strain, and workouts from WHOOP and Apple Health, enabling informed context-aware interactions.
    6
    1
    MIT

  • sisrun-mcp

    cdutr
    A
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to read your SisRUN training plan with your own credentials and answer questions about prescribed workouts, like weekly coach plans, in a structured format.
    3
    MIT

  • claudex-strava-mcp

    mossydidar
    F
    license
    A
    quality
    D
    maintenance
    Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.
    8

  • whoop-mcp

    ab75173
    F
    license
    A
    quality
    C
    maintenance
    Enables Claude to read your WHOOP health data including recovery, sleep, strain, and workouts through the official WHOOP API, so you can ask natural language questions about your fitness metrics.
    7

  • FitTrack MCP Server

    taimoorahmed91
    F
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to answer questions about and log a user's FitTrack fitness data after validating a short-lived personal access token, with tools like recent_workouts and today_nutrition.
    3

  • 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

  • coros-mcp

    cygnusb
    A
    license
    A
    quality
    A
    maintenance
    A Model Context Protocol (MCP) server that fetches sleep, HRV, and training data from the unofficial Coros API and exposes them to AI assistants like Claude, enabling natural language queries about fitness metrics and workout management.
    26
    111
    MIT

  • hevy-mcp

    Vellarasan
    A
    license
    A
    quality
    C
    maintenance
    A Model Context Protocol server that connects Claude to Hevy workout logs, enabling workout reading, routine creation, and training analysis.
    22
    2
    MIT

  • Strava MCP Server

    justmytwospence
    A
    license
    A
    quality
    D
    maintenance
    An MCP server that enables interaction with the Strava API v3 to manage fitness activities, athlete profiles, segments, and routes. It supports retrieving detailed performance metrics, exploring geographic data, and managing club information through natural language.
    45
    ISC

  • Hevy MCP

    chrisdoc
    A
    license
    A
    quality
    A
    maintenance
    A Model Context Protocol (MCP) server implementation that interfaces with the Hevy fitness tracking app and its API. This server enables AI assistants to access and manage workout data, routines, exercise templates, and more through the Hevy API (requires PRO subscription).
    23
    5,349
    424
    MIT