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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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    35 npm
    MIT
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    Provides SQL access to the ANSES Ciqual French food composition database with nutritional data for over 3,000 foods. Supports full-text search and bilingual queries for comprehensive nutrition analysis.
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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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    3 npm
    MIT
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    MCP server for managing food diary, nutrition tracking, meal planning, and weight logging via the FatSecret Platform API.
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    MIT
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    Enables reserving, canceling, and listing fitness classes on AimHarder through natural language, with support for multiple boxes and waitlists.
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    Provides BBQ cooking guidance with live ThermoWorks Cloud integration for real-time temperature monitoring, stall detection, cook time estimation, and expert recommendations for 20+ proteins across various cooking methods.
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    Race nutrition planning for endurance athletes. Calculates carb, sodium and fluid targets for marathons, ultras, cycling and triathlons. Returns personalised Lecka product recommendations by race type, conditions and athlete weight.
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    Enables AI agents like Claude Desktop, Cursor, and VS Code to connect directly to COLMI R02/R03 and compatible smart rings over local Bluetooth LE, exposing tools for ring scanning, battery and firmware status, activity and sleep/recovery insights, real-time heart rate and SpO2 vitals, 3-axis motion sampling, clock sync, and physical LED blinking. Runs fully locally with no vendor cloud, accounts, or subscriptions.
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    MIT
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    MCP server for the Hevy fitness tracking app, enabling management of workouts, routines, exercise templates, folders, and webhooks through AI assistants.
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    4,761 npm
    MIT
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    An MCP server for the Polar AccessLink API. Connect your Polar fitness data to Claude AI - access workouts, sleep analysis, recovery metrics, heart rate data, and more.
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    Enables Claude Desktop and Claude Code to read locally synced Fitbit Air health data — scores, trends, sleep, activity, running and body age — run read-only SQL against it, and keep a journal and coach notes on the user's Mac. It also offers profile edits, a refresh tool, and guided prompts such as morning check-ins, weekly reviews, race planning and score explanations.
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    Apache 2.0
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    Enables AI assistants to query glucose data from health storage APIs, providing natural language access to glucose readings, trends, and statistics for diabetes management and health monitoring.
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    A production-ready MCP server for the Hevy fitness API that exposes 27 tools for reading, writing, and analyzing workout data, enabling LLM-driven personal trainer workflows.
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    10 npm
    MIT