mcp-coding-server-demo-app
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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.
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:
-
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
-
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
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 file for details.
