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    Enables AI assistants to answer food safety and shelf-life questions using USDA-grade data, with tools for shelf life, safety checks, storage tips, and waste cost calculations.
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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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    A generic MCP server for tracking any entity type (e.g., weight, workouts, books) without predefined schemas, using SQLite with JSON columns for flexible data storage and querying.
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    MIT
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    Enables LLMs to retrieve and analyze sleep, recovery, and physiological cycle data from the WHOOP API. It provides tools for accessing detailed metrics such as strain, HRV, and readiness scores through secure OAuth 2.0 authentication.
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    Enables AI assistants to search for recipes, get nutritional information, find ingredients, and more through the Spoonacular Food API using natural language.
    Last updated
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    ISC
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    An MCP server that provides access to Tekuila restaurant menus with AI-powered health recommendations and meal planning. It enables users to retrieve daily or weekly menus and receive intelligent nutritional analysis through clients like Claude Desktop and Cursor.
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    MIT
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    Enables AI agents to generate budget-disciplined, allergy-safe weekly meal plans, shopping lists, and meal swaps using a fully local deterministic engine.
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    Huckleberry MCP server for Claude, Cursor, and other AI assistants. Query and log baby sleep, feeds, diapers, growth, pumping, and solids.
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    This MCP server provides emotional support through a rule-based system that analyzes user messages for emotional patterns and returns structured responses with self-care suggestions. It acts as a conversational assistant with ethical limitations, avoiding clinical diagnoses while offering supportive guidance.
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    A Model Context Protocol (MCP) implementation for Fitbit, enabling AI assistants to access and analyze your Fitbit health and fitness data. Disclaimer: This is an unofficial integration built using Fitbit's public API and is not affiliated with or endorsed by Fitbit Inc.
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    MIT