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"A server for pulling health and fitness data from Apple Health, Garmin, and Whoop" matching MCP servers:

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    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
    139 npm
    2
    MIT
  • F
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    quality
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    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
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    Enables AI agents to securely read and analyze your Google Health data from Fitbit, Pixel Watch, and Health Connect, providing baseline-aware insights, readiness scores, trends, and anomalies while keeping data local and read-only.
    9
    1
    MIT
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    Enables users to store and query their own medical data—labs, medications, diagnoses, wearables, and food logs—in a local Postgres database and interact with it through any MCP client, with deterministic safety checks.
    28
    3
    AGPL 3.0
  • F
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    An MCP server that performs comprehensive health checks on project dependencies for JavaScript and Python projects, detecting outdated packages and fetching changelogs.
    1
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  • A
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    MCP server for the Swiss Federal Office of Public Health Infectious Disease Dashboard, providing access to epidemiological surveillance data for 51 pathogens across Switzerland, including influenza, COVID-19, measles, and wastewater surveillance.
    10
    261 PyPI
    MIT
  • A
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    quality
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    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.
    24
    1,939 PyPI
    GPL 3.0
  • A
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    MCP server for AI agent deployment health — gateway status, CPU/memory/swap, recent errors from journalctl/dmesg, skill registry integrity, upgrade outcomes, cron + disk usage. Each component gets HEALTHY/DEGRADED/CRITICAL classification with overall rollup.
    8
    35 PyPI
    MIT
  • A
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    Enables client success teams to get instant, natural-language health reads on client accounts with tools for overall health, low-performing courses, and launcher-only clients.
    3
    1
    MIT
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    Enables an AI assistant to answer customer-success questions by synthesizing simulated billing, support ticket, and product usage data into composite churn-risk scores, bands, and plain-language explanations for fictional accounts. It exposes raw-data tools, a synthesis tool, and a methodology resource so users can list at-risk accounts or get a per-account health summary.
    4
    MIT
  • A
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    An MCP server for auditing automation health, finding failures, stale logs, and non-functional endpoints that report success while quietly failing.
    7
    MIT
  • A
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    quality
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    Provides read-only access to Fitbit health data (sleep, steps, heart rate, HRV) via local sync with Google Health API. Enables querying daily health summaries and trends through MCP tools without uploading data to cloud.
    6
    MIT
  • A
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    Enables agents to locally analyze Huawei Health export data, retrieve activity summaries, tracks, samples, and health context, and generate structured report evidence with optional environmental data.
    9
    7
    MIT
  • A
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    MCP server that exposes AWS Health API as tools for checking service health, events, and scheduled maintenance at account or organization level.
    11
    MIT No Attribution