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"Health-related MCP servers or resources" matching MCP servers:

  • A
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    Read-only MCP server enabling natural language querying of personal health and cultural activity scores from the health.ojimpo.com dashboard via Claude.
    5
    25
    MIT
  • F
    license
    A
    quality
    B
    maintenance
    Provides a unified MCP interface to a personal health database, enabling AI agents to sync lifting workouts from Hevy, log food intake against a catalog, and run read-only SQL queries to cross-reference training and nutrition data.
    6
    1
  • A
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    Not graded
    quality
    C
    maintenance
    Self-hosted MCP server that aggregates personal health data from Google Health, Oura, and Withings into a single, provider-attributed interface with configurable source of truth preferences.
    MIT
  • A
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    quality
    B
    maintenance
    An MCP server that connects AI clients to the Google Health API, enabling natural language queries about health and fitness data such as steps, sleep, heart rate, and exercise sessions.
    38
    MIT
  • A
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    quality
    C
    maintenance
    Exposes personal Garmin wellness data through MCP tools for accessing summary, sleep, HRV, heart rate, stress, body battery, and historical data.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Self-hosted MCP server that syncs Xiaomi fitness data to SQLite and provides authenticated tools to query health metrics (steps, sleep, HR, etc.) for AI assistants like Grok.
    GPL 3.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Gives Claude read access to wearable health data from Fitbit or Wear OS devices via the Google Health API, exposing tools for metrics like steps, heart rate, sleep, and workouts, plus a computed recovery score.
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    Private, read-only health data bridge that reads from Android Health Connect and exposes heart rate, steps, sleep, and other health metrics to ChatGPT via MCP tools.
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to query locally stored Samsung Health data—such as heart rate, sleep, steps, and workouts—through MCP tools for samples, daily summaries, and trend analysis while keeping everything on your own network.
  • F
    license
    Not graded
    quality
    B
    maintenance
    A remote MCP server that allows trusted LLM assistants to read Google Health/Fitbit data and log nutrition, hydration, and body measurements via the Google Health API.
  • A
    license
    A
    quality
    A
    maintenance
    MCP server for the Google Health API: heart rate, activity, sleep, SpO2, HRV, ECG and irregular-rhythm notifications, read into a local SQLite cache for fast offline queries and trend analysis. OAuth 2.0 with automatic token refresh, incremental sync, a cache-only offline mode, and a doctor command that diagnoses a setup without spending quota.
    6
    19
    GPL 3.0
  • 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
  • A
    license
    A
    quality
    B
    maintenance
    MCP server to read daily activity, sleep, heart rate, and body metrics from Google Health API, allowing AI assistants like Claude to access your health data. Optionally syncs health metrics to an Obsidian vault.
    5
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Local-first MCP server that reads Apple Health export files (export.xml/zip) and exposes activity, sleep, HRV, and workout data to AI agents, keeping all data on your machine.
    18
    218
    2
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    A local-first MCP server that enables AI agents to read user-authorized Google Health API v4 data from Fitbit, Pixel Watch, and partners via OAuth, with tokens never leaving the machine.
    26
    620
    44
    MIT