An MCP server that provides a database of Apple App Store review rejection reasons, solutions, and real - world cases for AI assistants, containing 48 rejection reasons, 51 solutions, 554 real - world cases, and 130 Apple review guidelines.

This project demonstrates an example implementation of the Model Context Protocol (MCP), which is a standardized protocol for enhancing the capabilities of AI assistants and extending their functionality through custom tools and data sources. The project includes multiple MCP server examples, such as task managers, file explorers, and weather services, and provides guidelines on how to set up and use these servers.

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.

Cupertino is a Swift - based localization tool used to crawl, index, and provide Apple developer documentation to AI agents through the Model Context Protocol (MCP). It supports offline access to over 230,000 pages of Apple platform documentation, Swift proposals, design guidelines, and sample code, and enables fast retrieval through the SQLite FTS5 search engine.

GitHub template and configuration documentation, including various templates such as issue reports, feature requests, and educational improvements, as well as contribution guidelines and a code of conduct, aiming to maintain high-quality educational projects.

An MCP server that provides best practices for AI agent access development, security guidelines, and coding standards. It supports multiple programming languages and frameworks, includes over 284 standards, and features a plug-in architecture and fast memory storage.