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Manages user information via a Model Context Protocol (MCP) server, built using Context7 Best Practices and a clean layered architecture.

소개

This project implements a professional Model Context Protocol (MCP) server designed for comprehensive user information management. It features a modern layered architecture, adhering strictly to Context7 MCP best practices and clean architecture principles to ensure a robust and maintainable system. The server efficiently provides structured user data sourced from a local JSON file, leveraging distinct layers for controllers, services, repositories, and tool definitions for clear separation of concerns, strong data integrity, and validation. It seamlessly integrates with various AI tools and IDEs supporting the MCP protocol, offering a comprehensive set of tools for user retrieval, searching, and addition, along with an interactive MCP Inspector for streamlined development and testing.

주요 기능

  • Adheres to Context7 MCP Best Practices for professional server development and standardized communication.
  • 0 GitHub stars
  • Implements a robust layered architecture (Controllers, Services, Repositories) for clear separation of concerns.
  • Provides an interactive MCP Inspector web interface for easy tool testing and development workflow.
  • Offers 6 distinct MCP tools for comprehensive user data management (get all, get by ID, search by name/email/phone, add new user).
  • Ensures strict type safety and runtime input validation using TypeScript and Zod schemas.

사용 사례

  • Developing and testing Model Context Protocol (MCP) servers following modern architectural patterns and best practices.
  • Integrating user data management capabilities into AI tools and IDEs (e.g., Cursor IDE, Claude Desktop, VS Code) via the MCP protocol.
  • Providing structured user data access for AI assistants requiring real-time information retrieval and updates.
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