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    Enables AI assistants to read and analyze Google Fit exported data (activities, daily metrics, workouts, sleep) from Google Takeout, providing tools for queries, resources, and coaching prompts.
    8
    6
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    Provides read-only access to reaction time test catalog, measurement rules, FAQ, and official links for AI clients like Claude Desktop. Cannot run tests; it only exposes documentation context.
    2
    MIT
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    An MCP server for authoring and managing structured workouts (SuuntoPlus™ Guides) on Suunto watches, with swappable transports (file, Cloud API, or private mobile API) and a coach-oriented domain model that lowers to the display-oriented guide format.
    3
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    Enables AI assistants to manage recipes, meal plans, and shopping lists in Mealie through natural language, supporting CRUD operations and URL-based recipe imports.
    27
    2,144
    8
    MIT
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    MCP server for CITED Health that allows AI assistants to query evidence-based supplement data, including ingredient evidence grades, health conditions, PubMed papers, glossary terms, and educational guides.
    MIT
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    Connect AI assistants to your Baby Buddy instance to log and query feedings, sleep, diaper changes, and more.
    1
    BSD 2-Clause "Simplified"
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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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    Enables AI-driven weekly meal planning with structured recipes, cooking steps, and grocery lists.
    1
    MIT
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    An MCP server that securely syncs and queries your health data from Apple Health, storing it in your own Supabase Postgres database and exposing tools for AI assistants to retrieve weight, calories, macros, and more.
    16
    MIT
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    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