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    Mcp Coding Server Demo App

    Esperimento di sviluppo Java EE automatizzato con Claude + MCP

    2 stars
    Java
    Updated Apr 4, 2025

    Table of Contents

    • 🌟 Project Overview
    • 🔧 Architecture
    • MCP Server Components
    • Key Features
    • 🚀 Getting Started
    • Prerequisites
    • Installation
    • 📱 Todo List Demo Application
    • 📚 Documentation
    • 📄 License

    Table of Contents

    • 🌟 Project Overview
    • 🔧 Architecture
    • MCP Server Components
    • Key Features
    • 🚀 Getting Started
    • Prerequisites
    • Installation
    • 📱 Todo List Demo Application
    • 📚 Documentation
    • 📄 License

    Documentation

    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

    🔧 Architecture

    MCP Server Components

    code
    mcp-coding-server-demo-app/
    ├── prompts/                # Prompt templates and configurations
    │   ├── project prompt.xml  # Global context settings
    │   └── history/            # Conversation history storage
    ├── 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

    🚀 Getting Started

    Prerequisites

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

    Installation

    _Coming Soon_

    📱 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

    📚 Documentation

    _Coming Soon_

    📄 License

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

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