An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

The TeslaMate MCP server is a model context protocol server that connects to the TeslaMate database, providing tools for AI assistants to query Tesla vehicle data and analysis, including functions such as vehicle information, driving statistics, charging data, battery health, and location analysis.

Postgres MCP Pro is an open - source MCP server that provides comprehensive support for AI agents in database index tuning, execution plan analysis, health checks, and secure SQL execution.

MarketScope AI is an intelligent healthcare market analysis platform that provides functions such as healthcare segment market analysis, product comparison, and sales data insights through AI and natural language processing technologies.

The Medical MCP Server is a dedicated server based on the Model Context Protocol (MCP) that provides AI assistants with access to medical data and medical information tools, including functions such as drug information query, medical literature retrieval, and health topic access.

The Druid MCP Server is a comprehensive model context protocol server designed for Apache Druid, providing rich tools, resources, and prompt templates for managing and analyzing Druid clusters. It supports multiple transmission modes, including STDIO and SSE, and provides functions such as data management, ingestion management, and monitoring and health checks.

The Intervals.icu MCP Server is a model context protocol service connecting Claude with the Intervals.icu API, providing authentication and data retrieval tools for obtaining activity, event, and health data.

An MCP server that connects to Garmin Connect to obtain and display users' fitness and health data

The Oura MCP Server is a Model Context Protocol service for accessing Oura Ring data, supporting the acquisition of user health data, including multiple indicators such as sleep, activity, and stress, through personal access tokens or OAuth2 credentials.

Medical AI Assistant Data Service

The MedixHub MCP Server is a model context protocol service based on JavaScript, integrating medical and health API access functions, providing standardized function execution, parameter verification, and LLM integration, and supporting various medical data queries such as OpenTarget, FDA drug labels, and Monarch databases.

An MCP server based on the Google Cloud Healthcare API that provides medical tools for interacting with FHIR resources, supports data access through a Smart on FHIR gateway with Firebase authentication, and integrates medical research APIs such as PubMed.

Fitbit MCP is an unofficial implementation of the Model Context Protocol that allows AI assistants to access and analyze users' Fitbit health and fitness data through the Fitbit public API.

The Whoop MCP server is a Python service that provides access to the Whoop API, supporting queries for health data and interaction with language models.

This project implements a Fitbit MCP Server, which serves as a bridge between LLM and the Fitbit API, supporting the acquisition of user health data through defined tools.

The Oura MCP Server is an interface service based on the Model Context Protocol, providing access to the health data of the Oura API.

The Apple Health MCP Server is a model context protocol server based on the FastMCP framework, designed for LLM agents to interact with Apple Health data. It provides a standardized interface to index and query health data through Elasticsearch, supports natural - language search, analysis, and statistical functions, includes two major toolkits for XML and Elasticsearch, and supports Docker deployment.

The Oura Ring health data MCP server provides an access interface for health data such as sleep, activity, and heart rate through the Oura API v2, supporting personal configuration and real - time Webhook functions.

PrivAgents is a privacy-first framework that combines local and cloud agents to achieve secure data processing using homomorphic encryption technology, ensuring that data remains encrypted during transmission and processing. It is suitable for sensitive scenarios such as healthcare and finance.

The Theta Health MCP Server is a service that connects health data to AI assistants through the Model Context Protocol (MCP), supporting the query and management of health data such as medical records, functional examinations, and device data.

The Intervals.icu MCP Server is a model context protocol service for connecting Claude with the Intervals.icu API, providing authentication and data - acquisition tools, and supporting queries for activity, event, and health data.

The Senechal MCP Server is a middleware that provides health data interfaces for LLM applications. It connects the Senechal API and language models through a standardized protocol, supporting resource loading, tool calls, and prompt template functions.

The Health & Fitness Coach MCP is a comprehensive project that combines AI intelligence with traditional fitness applications. It enables intelligent interaction between AI tools and fitness data through the Model Context Protocol (MCP) and consists of two major components: a web application and an MCP server.

A Model Context Protocol server that provides access to the Whoop API, supporting queries for health data such as workout cycles, recovery status, and training loads.

The Health & Fitness Coach MCP is an AI - driven comprehensive fitness tracking application, including a Web dashboard and an MCP server. It enables intelligent interaction between the AI assistant and fitness data through the Model Context Protocol, providing functions such as exercise recording, nutrition tracking, and personalized plan generation.

The openEHR MCP server project provides an interface service with the EHRbase REST API, supporting the management of electronic health record templates and composite data through the MCP protocol.

A server project that receives Garmin health data and provides it to ChatGPT through the MCP protocol, including data storage, API interfaces, and AWS deployment functions.

This is an MCP server project based on the OpenAPI specification, used for the Google Fitness API, supporting automatic generation and multiple transport modes.

OMCP is an MCP server implementation based on the OMOP Common Data Model, providing a standardized interface for AI models to query and analyze healthcare data.