MCP Coding Server Demo with Claude AI

by lamemind

360 downloads
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About

Esperimento di sviluppo Java EE automatizzato con Claude + MCP

Details

Author
lamemind
Downloads
360
Categories
AI

- Structured context management across conversations
- Template-based intelligent prompting system
- Git integration with smart commit messages
- File system management and code validation
- Demo Todo List application with Quarkus

Prerequisites include Java 17, MySQL 8.0, Maven, and Git. The project consists of an MCP integration server and a demo Todo List application. Installation instructions are not yet available.

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

πŸ”§ Architecture

MCP Server Components

mcp-coding-server-demo-app/
β”œβ”€β”€ prompts/                # Prompt templates and configurations
β”‚   β”œβ”€β”€ project prompt.xml  # Global context settings
β”‚   └── history/            # Conversation history storage
β”œβ”€β”€ 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

πŸš€ Getting Started

Prerequisites

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

Installation

_Coming Soon_

πŸ“± 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

πŸ“š Documentation

_Coming Soon_

πŸ“„ License

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

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