MCP server for Cronometer nutrition tracking, enabling food diary management, nutrition data retrieval, food search, and biometric tracking via Cronometer's mobile REST API.
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 an LLM to search a movement library, log single-movement and multi-movement workout results, and pull complete logged training history plus PR trends for Beyond the Whiteboard straight from a chat. All logged entries are posted privately, and session authentication can refresh automatically.
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.
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.
Enables read-only SMART on FHIR R4 discovery, search, and read operations against public synthetic sandboxes, returning actual empty results and 404s rather than inventing patient data.
Enables AI assistants to search for real-time prescription drug prices, find local pharmacies, and retrieve discount coupons through the GoodRx service. It uses Playwright browser automation to provide drug comparisons and checkout details like BIN and PCN codes.
Enables AI assistants to access the Open Food Facts database to query detailed food product information, nutritional data, and environmental scores. Supports product lookup by barcode, smart search with filtering, nutritional analysis, product comparison, and dietary recommendations to help users make informed food choices.
Enables workout logging, volume calculation, exercise database search with 1500+ exercises, and AI-powered workout plan generation with DynamoDB persistence.
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.
An MCP server that connects AI assistants to OpenEMR instances to manage patient records, clinical trends, and medication safety. It provides 17 tools for tasks such as patient search, drug interaction checks, and generating comprehensive health trajectories and visit preparations.
Enables AI assistants to search for recipes, get nutritional information, find ingredients, and more through the Spoonacular Food API using natural language.
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.
A MCP server that tracks daily calorie intake through natural language interaction, providing meal recording, daily summary, weekly report generation, and food search functions.
Enables MCP clients to read account status, plans, and recent workouts, search official exercise names, and, when writes are enabled, apply confirmed preview-first plan changes and historical workout logs.
Enables MCP clients to look up products by barcode, search products and text, retrieve taxonomy suggestions, and compare nutrition data through read-only tools.
Enables querying Chinese medical information (drugs, diseases, doctors, symptoms) from the Dayi platform with structured output and auto-type detection.
Official JustGains MCP server: lets AI agents build and save workouts, read training history and progress, search exercises, plan routes, and log meals and bodyweight in a JustGains account. A TypeScript stdio server on the MCP SDK with OAuth sign-in, serving the same tools as the hosted JustGains endpoint.
Enables AI agents to securely interact with FHIR R4-based EMRs, supporting read, search, create, and update operations on any FHIR resource type across systems like Epic, Cerner, and OpenEMR.