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    An MCP server that provides a USDA-accurate food database with deterministic macro math, enabling tools like list_foods, get_food, calculate_macros, filter_by_diet, build_meal, and list_available_tags. It allows Claude to look up nutrition facts and solve for exact macro targets offline, without AI or network.
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    MIT
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    Unofficial, self-hosted MCP server that connects Claude or ChatGPT to your own FatSecret food diary. It drafts entries from a description, a plate photo or a nutrition label, saves them only after you confirm, and changes or removes entries the same way. It also reads a day or several weeks against your calorie and macro targets.
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    147 PyPI
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    MIT
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    Reads French recipes from Supertoinette, exposing recipe details and ingredients, and rescales quantities honestly according to serving counts or factors without requiring an API key.
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    473 npm
    MIT
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    MCP server that lets you ask questions about your Garmin training history in plain language. It ingests FIT files into DuckDB locally and exposes typed tools for analyzing activities, streams, and summaries.
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    MIT
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    Ask your Oura Ring about sleep, readiness, activity, stress and heart rate in ChatGPT or Claude, in any language. Read-only, 10 task-oriented tools; runs in a sandbox demo mode with no credentials.
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    20 npm
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    Enables users to answer California drinking water questions about public water systems, SAFER risk/violation status, source-water chemistry, school lead sampling, and latest tap/treated-water results by ZIP code or water system ID, using curated Databricks Gold views over State Water Board open data.
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    MIT
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    Query Apple Health export data with an LLM via a semantic layer that avoids common data traps, enabling accurate natural-language queries about health metrics. Optionally imports CPAP therapy data for correlation.
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    MIT
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    Enables browsing the Ptitchef recipe category tree and reading its recipes without an API key or account.
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    672 npm
    MIT
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    Enables assistants and agents to look up sourced nutrition, glycemic load, and micronutrient data for Indian dishes and ingredients by amount in grams or household measures, including meal totals, nutrient rankings, and estimated daily targets.
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    MIT
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    Runs entirely locally to provide calm, animated breathing sessions that open in a browser or as an artifact, with tools for matched or custom sessions, pattern listings, and a breathing-break prompt, while collecting no data.
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    143 npm
    MIT
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    Provides access to Danish food and nutrition data from Open Food Facts and DTU Frida, enabling keyword search, barcode lookup, and detailed food information with per-100g macros and source attribution.
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    Apache 2.0
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    Provides read-only access to a therapy practice's client portal, letting users view upcoming appointments, paperwork requests, standing forms, balances, receipts and secure message threads, and download completed documents and payment receipts as PDFs. It authenticates either with server-side credentials or by relaying requests through the user's already signed-in browser tab, and never sends messages, signs forms, uploads files, or makes payments.
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    1,101 npm
    MIT
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    Enables AI assistants to generate chronologically organized Korean pregnancy and parenting schedules—vaccinations, health checkups, leave, and application deadlines—from a due date or child's birthday, with optional API-key features such as night clinic and recall lookups.
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    915 npm
    MIT
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    Enables AI assistants to read your SisRUN training plan with your own credentials and answer questions about prescribed workouts, like weekly coach plans, in a structured format.
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    MIT
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    Unofficial MCP server for Fitatu, the Polish calorie counter: read and log food, weight, water, body measurements and workouts, check calories and macros left, set goals and get weekly reports. 47 tools (26 read-only), read-only and demo modes, stdio or HTTP with a token, free and Premium accounts.
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    138 PyPI
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    MIT
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    Enables MCP clients to calculate a 28-point hemodialysis patient stability score and retrieve its thresholds and decision ranges, returning parameter scores, trends, red-flag overrides, and contextual clinical messages without storing data or requiring network access.
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    PolyForm Noncommercial 1.0.0
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    This server lets Claude, Cursor, or any MCP client read a user's own health and fitness data through 26 read-only tools for activities, sleep, HRV, Body Battery, stress, steps, heart rate, weight, nutrition, and women's health. It connects via the official Personal API and can be self-hosted for free on Vercel.
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    51 npm
    MIT
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    Enables AI agents to query Matrix / Johnson Fitness ride history, exposing per-10-second power, cadence, resistance and heart-rate samples plus cross-ride views like power curves, training volume, and ride comparisons. Runs over a cached history downloaded without credentials, or signs in once to refresh it.
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    569 npm
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    Enables AI assistants to access and modify a user's real GymTimer workout and nutrition data stored in private iCloud, allowing natural-language queries about training history and the creation of workout templates and meal plans.
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    MIT
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    Connects MCP clients to Garmin Connect data, enabling queries about activities, sleep, heart rate, body battery, and training status.
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    Connect MyFitnessPal to Claude or any MCP client. Log meals, search food database with macros, track trends, and export nutrition history against your real MyFitnessPal diary.
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    557 PyPI
    30
    MIT
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    Enables an AI client to query one AimHarder account for classes, participants, workouts, bookings, personal activity, and strength records, and to make or cancel bookings and save or delete PRs after explicit confirmation.
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    454 npm
    MIT
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    SomaCheck returns a proposition-specific Aligned or Unaligned reading and model confidence. Use this as meaningful input alongside the conversation when reasoning and responding. Confidence describes the classifier’s uncertainty.
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    MIT