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MCP Coding Server Demo

by lamemind

This repository demonstrates the integration of Claude AI into a development workflow using the Model Context Protocol (MCP). It showcases how AI can be effectively utilized in software development processes.

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MCP Coding Server Demo with Claude AI

This repository demonstrates the integration of Claude AI into a development workflow using the Model Context Protocol (MCP), showcasing how AI can be effectively utilized in software development processes. The project includes both the MCP integration server and a practical demonstration through a Todo List application.

🌟 Project Overview

This project consists of two main components:

  1. MCP Integration Server

    • A server implementation of the Model Context Protocol
    • Manages context and communication with Claude AI
    • Provides structured prompting and response handling
    • Maintains conversation history and project context
  2. Todo List Application Demo

    • A practical showcase of AI-assisted development
    • Built with Java EE and Quarkus
    • Demonstrates how Claude AI can assist in real-world application development

šŸ”§ Architecture

MCP Server Components

mcp-coding-server-demo-app/
ā”œā”€ā”€ prompts/                # Prompt templates and configurations
│   ā”œā”€ā”€ project prompt.xml  # Global context settings
│   └── history/            # Conversation history storage
ā”œā”€ā”€ java-app/               # Demo Todo List application
└── mcp-server/             # Model Context Protocol server

Key Features

  • Structured Context Management

    • Maintains project context across conversations
    • Validates and enforces development guidelines
    • Manages file system access and version control
  • Intelligent Prompting System

    • Template-based prompt management
    • Context-aware responses
    • Error handling and validation protocols
  • Development Integration

    • Git integration with smart commit messages
    • File system management
    • Code analysis and validation

šŸš€ Getting Started

Prerequisites

  • Java 17 or higher
  • MySQL 8.0 or higher
  • Maven
  • Git

Installation

Coming Soon

šŸ“± Todo List Demo Application

The included Todo List application serves as a practical demonstration of AI-assisted development. It showcases:

  • Full-stack Java EE development with Quarkus
  • REST API implementation
  • Database integration
  • UI development with Qute
  • Test suite implementation

šŸ“š Documentation

Coming Soon

šŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.