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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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    MIT
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    Connect AI assistants to your Baby Buddy instance to log and query feedings, sleep, diaper changes, and more.
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    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.
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    MIT
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    Enables AI-driven weekly meal planning with structured recipes, cooking steps, and grocery lists.
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    MIT
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    MCP server for meal planning and grocery list generation, enabling recipe storage, meal plan creation, and automated grocery lists with ignored ingredients.
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    MIT
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    MCP server for workout-file conversion: convert, validate, and inspect FIT, TCX, ZWO, and Garmin Connect files, with round-trip-safe conversions through the KRD canonical JSON format. Runs locally over stdio via npx -y @kaiord/mcp. Part of the open-source, local-first Kaiord training platform.
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    MIT
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    Enables access to Lose It calorie tracking data including daily summaries with budgets and remaining calories, weekly history, and food logs. Integrates with the Lose It web app API to retrieve nutrition information and dietary entries for monitoring caloric intake.
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    MIT
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    A Model Context Protocol (MCP) server that provides AI assistants with access to the Hevy fitness tracking API. This allows you to log workouts, manage routines, browse exercises, and track your fitness progress directly through AI chat interfaces.
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    MIT
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    Enables LLMs to configure the TerraAPI dashboard by managing health and fitness integrations, destinations, and provider credentials. It allows users to programmatically interact with the Terra ecosystem to handle developer settings and data source configurations.
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    MIT
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    A Model Context Protocol server that provides health data from the Senechal API to LLM applications, enabling AI assistants to access, analyze, and respond to personal health information.
    Last updated
    GPL 3.0