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102,123 servers. Updated
20 Best GitHub MCP Servers: compared and ranked, October 2026Ranked from 1,839 matching servers on stars, growth, downloads and maintenance. Updated .

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"A GitHub server implementing the Model Context Protocol (MCP)" matching MCP servers:

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  • A
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    quality
    A
    maintenance
    MCP server for Benny the dog's health and care monitoring, allowing users to log care events like water refills, barks, movement, sausage deliveries, movie time, and wake calls, with automatic loneliness detection and Boomy robot integration.
    MIT
  • A
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    Not graded
    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
  • F
    license
    Not graded
    quality
    D
    maintenance
    Exposes Garmin Connect health and activity data (steps, sleep, heart rate, etc.) via MCP tools, with built-in login and MFA support.
    -
  • 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
    1
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables a single Strava account to be accessed through the Model Context Protocol, exposing read-only athlete, activity, route, segment, stream, and gear data plus activity summaries and zones.
    -
  • 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
    32 npm
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Provides read-only access to Oura ring biometrics via the Oura API, enabling Claude to query daily summaries, sleep, readiness, stress, workouts, baselines, and heart rate data. Designed to complement a Strava connector for joint analysis of training and recovery.
    8
    MIT
  • 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
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    license
    A
    quality
    C
    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
  • 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.
    24
    98 PyPI
    GPL 3.0
  • A
    license
    A
    quality
    D
    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
    8 npm
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables an LLM to search a movement library, log single-movement and multi-movement workout results, and pull complete logged training history plus PR trends for Beyond the Whiteboard straight from a chat. All logged entries are posted privately, and session authentication can refresh automatically.
    7
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    A local-first, read-only MCP server that provides compact recovery, sleep, strain, HRV, heart-rate, workout, and body-measurement data from WHOOP without sending credentials to a third party.
    5
    58 npm
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to access and analyze Polar device health data, including exercises, heart rate, sleep, and recovery metrics, by preprocessing raw sensor data into compact summaries to avoid context window overload.
    13
    MIT