"High-Quality PDF Extraction to Text with Tokenization and Accurate Processing of Complex Layouts" matching MCP servers:

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Connects AI agents to the Pilates With Neelam studio management platform, enabling natural-language class search, real-time availability checks, bookings, level assessments, and post-class check-ins.

Enables users to retrieve guided wellness practices, adapt them to Guna state and worldview, manage consented preferences, create reflective session summaries, and simulate or restore smart-home ambient scenes through MCP tools.

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.

Provides access to thousands of interactive self-awareness scenarios, behavioral archetypes, and breakthrough exercises from the Levels of Self development game. It enables AI assistants to guide users through pattern recognition and developmental coaching across seven levels of self-awareness.

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.

MCP server for tracking nutrition meals and workouts, integrating with claude.ai to manage food logs, macros, exercise catalogs, and generate daily/weekly summaries.

Enables calculation of fractional sodium and urea excretion from serum and urine chemistries, automatically selecting the appropriate index during diuretic therapy and classifying renal hydration status.

Enables computation of sodium and urea fractional excretion from serum and urine chemistries, automatic diuretic-aware switching to urea-based assessment, and classification of prerenal hypoperfusion versus intrinsic acute tubular necrosis.

MyChart MCP Server

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.

This server processes 2D Center of Pressure (COP) data to calculate metrics such as 95% confidence ellipse area, sway velocity, and the Romberg Quotient for postural stability analysis.

Enables analysis of 2D center-of-pressure statokinesigram trajectories, computing 95% confidence ellipse area, sway velocity, postural stability index, fall-risk tier, and Romberg Quotient for sensory re-weighting comparisons.

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.

Connects AI assistants to TrainingPeaks via secure cookie authentication (no API approval needed), letting users query and build workouts, schedule intervals on the calendar, analyze CTL/ATL/TSB fitness trends and power PRs, manage health metrics, events, equipment, and workout libraries through natural language. It also supports coach accounts with athlete groups and multi-week training plans.

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.

Enables MCP clients to query read-only Oura health data—readiness, sleep, HRV, activity, stress, heart rate and tags—through combined daily overviews, multi-day trends and aggregated heart-rate series. Authentication stays local via OAuth with PKCE, graceful handling of unavailable data types, and an optional sandbox of public sample data.

Exposes 24 evidence-grounded medical skills as JSON-RPC tools over stdio, letting agents run deterministic clinical calculators, PHI de-identification, negation-preserving multilingual parsing, and drug interaction checks locally with no token cost. It also enforces provenance and safety gates so high-risk dosing or prescribing decisions require documented clinical records rather than model inference.

MCP server that searches French recipes from Marmiton, reads ingredients and steps, and rescales quantities to any number of servings without requiring an API key.

Gives AI assistants live access to US prescription drug prices by pharmacy with observation dates, the free discount card, and vetted US equivalents of foreign-brand medicines, all through the Model Context Protocol.

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 retrieval of InBody body composition data including profile, scan history, and full metrics via MCP tools.

Local MCP server to access your personal health data from E-Nabız (Turkish Ministry of Health) via an LLM. Read-only, secure, and respects privacy.

Provides read-only access to Oura ring biometrics via the Oura API, enabling Claude to query daily summaries, sleep, readiness, stress, workouts, baselines, and heart rate data. Designed to complement a Strava connector for joint analysis of training and recovery.

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 users to query and compare Brazilian health-plan operators using ANS open data, including complaints, IDSS quality scores, access-to-care bands, fines, and readjustments. It supports operator profiles, side-by-side comparisons, rankings, searches, and official complaint-channel guidance.

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.

Enables AI assistants to interact with Intervals.icu fitness tracking and wellness data, allowing users to fetch, filter, and group activities or health metrics. It provides structured summaries of workouts and physical well-being through natural language queries.

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.