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  • Strava MCP Server

    LimeON-source
    A
    license
    B
    quality
    D
    maintenance
    Enables users to interact with their Strava data through natural language to analyze workouts, track fitness progress, and explore routes. It supports retrieving detailed activity stats, heart rate data, and segment insights directly within AI assistants.
    26
    262
    MIT
  • vari-mcp by getvari

    vari-mcpofficial

    getvari
    A
    license
    A
    quality
    D
    maintenance
    Provides six deterministic, source-attributed hydration calculators (water intake, dehydration check, pregnancy intake, kidney-safe intake, athlete plan, energy optimization) as MCP tools, enabling AI clients to call them via stdio without custom HTTP coding.
    6
    39
    MIT

  • Health4AI

    jefflitt1
    A
    license
    A
    quality
    B
    maintenance
    Apple HealthKit → PostgreSQL sync + MCP server for Claude Code, Cursor, and Ollama. Open-source iOS app with reliable background sync (HKObserverQuery). 11 tools covering health summary, sleep, HRV trends, workouts, daily snapshots, metric stats, period comparison, and coaching briefs. Supports Supabase, Neon, and self-hosted Postgres. Privacy-first: your data goes to your own database.
    11
    MIT

  • WHOOP MCP Server

    nissand
    A
    license
    B
    quality
    D
    maintenance
    Enables access to WHOOP fitness and health data through all WHOOP v2 API endpoints. Supports OAuth 2.0 authentication and provides comprehensive access to user profiles, physiological cycles, recovery metrics, sleep analysis, and workout data.
    16
    1,020
    14
    MIT

  • oura-mcp

    AntVsl
    A
    license
    B
    quality
    B
    maintenance
    MCP server for accessing Oura Ring data from Claude Code and claude.ai, providing summarized health metrics and raw API data.
    11
    MIT

  • Suunto MCP

    unclet67
    A
    license
    -
    quality
    C
    maintenance
    Enables Claude to access and analyze Suunto sports watch data, allowing users to ask natural-language questions about their workouts, training metrics, and history.
    MIT

  • Oura Ring MCP Server

    abekek
    A
    license
    -
    quality
    D
    maintenance
    A Python-based Model Context Protocol server that provides AI assistants with access to Oura Ring health and fitness data across 15+ endpoints. It enables querying metrics like sleep, activity, readiness, and cardiovascular health through simple authentication and date-range filtering.
    MIT

  • hevy-coach-mcp

    gCuadros
    A
    license
    -
    quality
    B
    maintenance
    MCP server for Hevy that fetches live workout data and computes analytics like e1RM, PRs, volume, and consistency, while enabling writes for routines, folders, and body measurements without modifying workout history.
    127
    MIT

  • hevy-mcp

    almostjacked
    A
    license
    -
    quality
    A
    maintenance
    Unofficial MCP server for Hevy that lets AI assistants design training programs, create routines directly in your Hevy account, and analyze logged workouts.
    11,534
    MIT

  • Kaiord

    pablo-albaladejo
    A
    license
    -
    quality
    A
    maintenance
    MCP server for workout-file conversion: convert, validate, and inspect FIT, TCX, ZWO, and Garmin Connect files, with round-trip-safe conversions through the KRD canonical JSON format. Runs locally over stdio via npx -y @kaiord/mcp. Part of the open-source, local-first Kaiord training platform.
    7
    MIT

  • mydata

    bibekg
    A
    license
    -
    quality
    D
    maintenance
    Enables querying personal data synced from services like Lunch Money and Strava using SQL via Claude.
    0
    1
    MIT

  • mcp-academia-server

    TiagoTi
    A
    license
    -
    quality
    D
    maintenance
    An MCP server specialized in managing and querying gym exercises through a centralized database. It enables users to search for workouts by name or muscle group and retrieve detailed information including sets, repetitions, and rest intervals.
    1,299
    1
    MIT