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.

The Kafka MCP Server is an Apache Kafka Model Context Protocol (MCP) server implemented in Go. Through a standardized interface, it enables LLM models to perform Kafka operations. It provides functions such as producing/consuming messages, managing topics and consumer groups, and monitoring cluster health. It supports multiple security authentication methods and can be integrated with AI applications such as Cursor and Claude.

An MCP server for configuring and managing the Cisco ACI (Application Centric Infrastructure) fabric through the APIC REST API, providing more than 35 tools covering complete fabric management functions such as tenants, application profiles, endpoint groups, bridge domains, VRFs, contracts, and health monitoring.

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.

LangCare MCP FHIR Server is an enterprise - level MCP server designed for FHIR R4 electronic medical record systems, enabling AI assistants to securely access and manage patient health records. It provides four general FHIR operation tools, has over 40 built - in clinical workflow guidelines and interactive UI applications, supports multiple back - ends such as EPIC, Cerner, and GCP, is written in Go language, and has enterprise - level security and HIPAA compliance.

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.

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.