"Methods to Convert Dynamic Web Content to Readable Formats like Markdown, Text, or HTML" matching MCP servers:

Enables AI assistants to plan and track McDonald's visits by locating stores, estimating commute calories, recommending nutrition-targeted menu combinations, monitoring orders, running spaced-repetition vocabulary practice during waits, and recording progress in a local dashboard.

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.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Enables analysis of triaxial force plate data to compute directional and composite stability indices, impact load multipliers, and time to stabilization for jump-landing assessments.

Enables calculation of composite and directional dynamic postural stability indices, jump-landing shock attenuation, impact load multipliers, and time to stabilization from triaxial force-plate data.

Enables deterministic calculation of exertional Inspiratory Capacity drop, End-Expiratory Lung Volume air trapping, and ventilatory mechanics reserve through JSON-RPC tools for LLMs and autonomous agents.

Enables deterministic calculation of dynamic airway closing pressure, static recoil pressure, and transmural gradients using Mead's Equal Pressure Point formulation, with JSON-RPC stdio access for assessing dynamic airway closure risk.

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.

Enables non-invasive deterministic evaluation of respiratory inertance, dynamic compliance, resonant frequency, and mechanical work of breathing through an MCP JSON-RPC tool for LLM and autonomous-agent use.

Enables deterministic calculation of exertional Inspiratory Capacity drop, End-Expiratory Lung Volume air trapping, inspiratory reserve volume compression, and ventilatory mechanics/dyspnea risk through JSON-RPC tools for LLM agents.

Enables deterministic, non-invasive evaluation of respiratory system inertance, dynamic compliance, resonant frequency, and mechanical work of breathing through an MCP-compatible interface.

Enables deterministic spirometry analysis through MCP JSON-RPC, calculating mid-expiratory flow metrics and classifying flow-volume loop patterns such as obstruction, variable extrathoracic obstruction, and isolated small airway disease.

Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.

Enables calculation of short-term DFA alpha-1 fractal scaling from RR-interval series to identify the aerobic threshold during endurance exercise, using current power and heart rate as context.

Enables deterministic calculation and interpretation of spirometry flow-volume loop metrics, including FEF25-75/MMEF, FEV1/FVC, and FEF50/FIF50 ratio, to classify obstructive patterns and small-airway or upper-airway limitations.

MyChart MCP Server

A read-only remote MCP server that connects Claude to your own Garmin Connect account through Garmin's official Personal API, running on Cloudflare Workers with OAuth sign-in so it also works in the Claude mobile app. It lets you ask natural-language questions about sleep, HRV, resting heart rate, Body Battery, stress, daily summaries and activities across date ranges.

MCP server that connects Claude and ChatGPT to the Intervals.icu API, enabling retrieval and management of activities, events, wellness data, power curves, and custom items.

MCP server providing full read/write access to Whoop wearable data, including recovery, sleep, workouts, journal, and more, via Whoop's private iOS API.

Enables healthcare benefits management by providing member eligibility verification, coverage details for medical/dental/vision/pharmacy services, and service coverage verification through natural language queries.

Enables autonomous tracking of household food consumption and expiration, applying dietary filters such as organic, gluten-free, and low-sugar to generate optimized grocery replenishment baskets within a specified budget.

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.

MCP server for the Fitbit Web API with OAuth PKCE, local cache, and trend analysis.

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.

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.

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.

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.

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.

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.

Enables AI assistants to read your Strava training data and answer plain-language questions about activities, splits, and totals across sports like running, skiing, and hiking.