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"Importing FastMCP from the mcp.server Python Module" matching MCP servers:

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    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
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    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.
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    MIT
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    MCP server that reads glucose data from a FreeStyle sensor via the LibreLinkUp API, providing current glucose and history with explicit coverage and gaps.
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    MIT
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    Solar vitamin D: whether the sun where you are can make vitamin D right now, how many minutes your Fitzpatrick skin type needs for a target dose, which months of the year synthesis is possible at your latitude, and how much a sun session produced. Computed from solar geometry, a clear-sky UV model with ozone and altitude, and live Open-Meteo UV data.
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    MIT
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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.
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    MIT
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    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.
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    Enables users to query Apple Health metrics, workouts, and trends from CSV files exported via the Health Auto Export app. It allows MCP clients to analyze health data such as heart rate, sleep stages, and activity levels directly from local iCloud Drive storage.
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    Provides AI assistants access to 1.6 million Swiss health insurance premium records from 55 insurers across 11 years (2016-2026), enabling price comparisons, historical analysis, and finding the cheapest insurance options based on location, age, and coverage preferences.
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    Enables querying sleep, readiness, and resilience data from the Oura API via the Model Context Protocol (MCP), allowing natural language interaction and seamless integration with tools like Claude.
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    MIT
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    Enables reading and syncing Xiaomi Mi Fitness health data (steps, heart rate, sleep, workouts) from the Chinese cloud region to a local SQLite database via MCP tools.
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    Provides access to the Nutrition By Api Ninjas API to extract detailed nutritional information from natural language food queries. It enables users to retrieve data such as calories, vitamins, and macros from text descriptions of meals.
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    leep disruption cause classifier using The Longevity Vault's 5-cause framework. Identifies the biological mechanism behind 3am wakeups from symptom descriptions. 4 tools: classify_sleep_cause, get_cause_info, list_causes, get_decoder_url. Built by Kat Fu dual M.S. (Stanford).
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    MIT