About MCP Coding Server Demo with Claude AI
This demo project combines an MCP integration server with a Java EE and Quarkus Todo List application to demonstrate Claude-assisted software development. It is intended to show context management, prompting, and development tasks within a project workflow.
Key features
- 01Maintain project context and conversation history
- 02Manage prompt templates
- 03Validate development guidelines
- 04Integrate Git and file operations
- 05Analyze and validate code
Use cases
- 01Demonstrate Claude-assisted application development
- 02Preserve project context across conversations
- 03Apply development guidelines during coding
MCP support
The MCP server manages context and communication with Claude AI, with structured prompting and response handling. The README does not specify tools or resources exposed to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP 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 LICENSE file for details.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.