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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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    24 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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    Mock MCP server for pediatric CKD risk warning, enabling patient biochemical trend retrieval, deterministic risk rule evaluation, structured alert triggering, and clinical SOP lookup using simulated data.
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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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    MIT
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    Enables users to access and query Oura ring health data, including sleep periods, readiness, activity, workouts, heart rate, stress, SpO2, resilience, and more, through Claude.ai or Claude Code using the Oura API v2 with OAuth 2.1 login.
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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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    Enables querying of current A\&E waiting times, specialist outpatient waiting times, and general outpatient clinic quotas in Hong Kong using natural language through MCP.
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    Provides comprehensive running performance calculations including VDOT, training paces, race time predictions, velocity markers, and heart rate zones using Jack Daniels, Greg McMillan, and Riegel methodologies.
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    MIT
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    Enables Claude to manage MyFitnessPal food diaries, nutrition goals, exercises, body measurements, and water intake via a remote MCP server using session cookie authentication.
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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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    An ingredient-based recommendation engine that identifies similar products using TF-IDF vectorization and scans ingredient lists for potential irritants. It enables users to perform NLP-based product matching and check for skin-sensitivity red flags within Claude.
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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 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