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    Enables AI assistants to convert raw and cooked weights for meat and poultry by cut and cooking method from USDA data, calculate how much raw meat to buy for cooked servings, and look up cooking yields and sample ranges.
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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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    8 npm
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    Provides local, read-only MCP access to Google Health API v4, enabling users to query recorded workouts, heart-rate samples, and related health data through natural language in an MCP client.
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    41 npm
    MIT
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    MCP server for JournalOwl that enables AI-powered journaling integration, allowing users to create, search, and browse journal entries, access weekly reviews, and get personalized suggestions directly from their AI assistant.
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    10 npm
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    Provides guarded access to the official Hevy fitness API, enabling users to list workouts and routines, search exercise templates, review exercise history, and create routines or workouts with explicit confirmation for writes.
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    Local MCP server that connects Claude Desktop with Garmin and Apple Health data to read training and recovery, estimate heart rate and pace zones, analyze performance, and create structured workouts.
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    MIT
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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.
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    1,407 npm
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    Enables any MCP client to calculate how many calories a user has earned by walking to a destination, then shows which nearby restaurants and dishes fit within that remaining budget. Blends official McDonald's nutrition data with estimated Chinese-restaurant nutrition values and real walking distances, exposing a walk allowance, nearby food lookup, eatability check, and concept explanation as tools.
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    Enables ChatGPT and compatible AI clients to query read-only Garmin Connect data—including sleep, HRV, heart rate, Body Battery, wellness metrics, and activities—through a hosted OAuth-backed MCP connection using a personal API key.
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    An MCP server for AI-powered recipe generation and transformation, enabling users to create custom recipes from natural language descriptions and modify existing ones to meet dietary and nutritional goals.
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    66 npm
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    Enables AI assistants to query Garmin training and recovery data—including activities, laps, strength sets, sleep, HRV, stress, and Body Battery—through the official read-only Garmin Connect Personal API. It also enables generating training dashboards and reviewing workouts, recovery, and readiness inside the chat.
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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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    MIT
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    Enables AI agents to access astrology, divination, and Vastu capabilities across Vedic, Western, KP, Chinese, Tarot, I Ching, Human Design, Numerology, and Ayurvedic domains as semantic tools.
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    154 npm
    MIT
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    Enables Claude Desktop to access and analyze Garmin wearable health data including sleep, HRV, Body Battery, and activity metrics. Users can query their health trends, track recovery, and generate interactive HTML dashboards using natural language.
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    Trainzilla MCP connects Claude to your Trainzilla coach account, turning your client roster, programming, and habit tracking into something you can manage conversationally. Built for fitness coaches running their practice on Trainzilla, it lets Claude pull up client profiles and metrics, build and review workout and diet plans, create and assign habits, run quick calculations (TDEE, macros, 1RM),
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    Enables AI clients to preview, search, read, create, update, schedule, and unschedule Garmin Connect workouts using a local Garmin session, with guarded writes and a limited tool set. Supports running, cycling, cardio, and strength workouts without exposing generic API, filesystem, or shell access.
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    Enables MCP clients and LLMs to create, edit, list, and delete arbitrary daily numeric goals, log and correct entries, and retrieve timezone-correct progress, history, and streak status with at-least or at-most targets.
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    Leverages large language models to analyze users' WeGene genetic testing reports, providing access to report data via custom URI schemes and enabling profile and report management through OAuth authentication and API utilization.
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    Enables AI assistants to create, validate, and track personalized, location-aware exercise and eating routines using local profiles and open data, with privacy and safety guardrails.
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    Apache 2.0
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    Exposes an athlete's training data — activities, streams, power curves, wellness records, calendar events, workouts, gear and routes — to MCP clients such as Claude, with 20 read-only tools plus two that can update wellness entries and create calendar events. Responses are downsampled, field-trimmed and credential-stripped so large datasets stay usable within a model's context.
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    38 npm
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    A Model Context Protocol server that enables natural language commands to manage healthcare data stored in Medplum FHIR servers through standardized Create, Read, Update, and Search operations.
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    Enables agents to read and write todos, habits, and countdowns on a paired phone over Bluetooth LE, and to query daily summaries, water intake, sleep records, and focus sessions.
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    Enables connecting your own Google Health account to an MCP client through local OAuth, exposing 17 read-only tools for metric discovery, daily and recent summaries, trends, sleep, activity, recovery, body metrics and data quality. All access is observation-only, with request bounds and no create, update or delete capabilities.
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    Enables access to WHOOP fitness and health data through all WHOOP v2 API endpoints. Supports OAuth 2.0 authentication and provides comprehensive access to user profiles, physiological cycles, recovery metrics, sleep analysis, and workout data.
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