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"Understanding the Concept of LLM Context" matching MCP servers:

  • loseit

    the-mace
    A
    license
    -
    quality
    B
    maintenance
    MCP server that reads local SQLite database populated by a Playwright scraper to provide daily summary, food log, weight history, and water log from LoseIt.
    MIT

  • garmin-mcp-local

    the-mace
    A
    license
    A
    quality
    B
    maintenance
    A local MCP server that caches Garmin Connect data in SQLite for fast, read-only queries, with tools for bulk import, rate-limited sync, and failure alerts.
    9
    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

  • health-mcp

    ojimpo
    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
    16
    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

  • Garmin MCP Lite

    Golden0Voyager
    A
    license
    A
    quality
    B
    maintenance
    A lightweight Garmin Model Context Protocol server with 12 curated endpoints for endurance athletes, enabling natural-language queries of activity, training, health, device, and goal data from Garmin Connect.
    12
    MIT

  • hevy-mcp

    rwestergren
    A
    license
    A
    quality
    C
    maintenance
    MCP server for the Hevy fitness tracking app, enabling management of workouts, routines, exercise templates, folders, and webhooks through AI assistants.
    25
    11,534
    MIT

  • 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
    11,534
    404
    MIT

  • Hevy MCP Pro

    cbotworks
    A
    license
    B
    quality
    D
    maintenance
    A production-ready MCP server for the Hevy fitness API that exposes 27 tools for reading, writing, and analyzing workout data, enabling LLM-driven personal trainer workflows.
    27
    12
    MIT

  • Strava MCP server

    ls2g08
    A
    license
    B
    quality
    C
    maintenance
    A local, read-only Model Context Protocol server for an athlete's Strava profile and activities, enabling retrieval of profile data, activity lists (with paging and date filters), and detailed activity information via standard input/output for MCP hosts.
    3
    21
    MIT

  • TrainingPeaks MCP

    lsantome
    A
    license
    B
    quality
    C
    maintenance
    Connect TrainingPeaks to Claude and other AI assistants via the Model Context Protocol to query workouts, build structured intervals, manage calendar, track fitness trends, and control training through natural conversation.
    65
    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

  • MyFitnessPal MCP Server

    ai-mcp-garage
    F
    license
    B
    quality
    C
    maintenance
    Enables retrieval and analysis of MyFitnessPal nutrition data including daily summaries, meal breakdowns, exercise tracking, and macro/micronutrient analysis. Uses browser cookie authentication to access your personal MyFitnessPal account data through natural language queries.
    6