🚀 MCP Server (Spring Boot + React)

An MCP (Model Context Protocol) Server built using Spring Boot and React, developed by STech World. This project enables seamless communication between AI models and client applications, making it easier to build intelligent, scalable systems.

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📌 Overview

This repository contains a full-stack implementation of an MCP server designed to integrate with modern AI/LLM providers like OpenRouter or OpenAI.

• Backend: Spring Boot (Java)
• Frontend: React.js
• Purpose: Enable AI-driven communication via MCP protocol

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✨ Features

• 🔹 MCP Server implementation
• 🔹 RESTful API architecture
• 🔹 Clean and modular backend (Spring Boot)
• 🔹 Interactive frontend UI (React)
• 🔹 LLM integration support (OpenRouter / OpenAI)
• 🔹 Scalable and production-ready structure
• 🔹 Easy customization and extension

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🛠️ Tech Stack

Layer	Technology
Backend	Spring Boot (Java)
Frontend	React.js
API	REST / JSON
AI Support	OpenRouter / OpenAI
Build Tools	Maven / npm

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📂 Project Structure

mcp-server/
│
├── backend/               # Spring Boot application
│   ├── src/
│   ├── pom.xml
│
├── frontend/              # React application
│   ├── src/
│   ├── package.json
│
└── README.md

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⚙️ Installation & Setup

🔹 Prerequisites

• Java 17+
• Node.js (v16+ recommended)
• Maven
• npm or yarn

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🔹 Backend Setup (Spring Boot)

cd backend
mvn clean install
mvn spring-boot:run

Backend will start at:

http://localhost:8080

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🔹 Frontend Setup (React)

cd frontend
npm install
npm start

Frontend will start at:

http://localhost:3000

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🔗 API Integration

The backend exposes REST APIs that can be used to:

• Communicate with AI models
• Send and receive MCP requests/responses
• Manage sessions and data flow

Example:

POST /api/mcp/request

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🤖 AI Integration

This project supports integration with:

• OpenRouter
• OpenAI APIs
• Other LLM providers

You can configure API keys in:

application.properties / application.yml

Example:

ai.api.key=YOUR_API_KEY

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📸 Screenshots (Optional)

Add UI screenshots here if available

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🧪 Testing

Backend:

mvn test

Frontend:

npm test

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🚀 Deployment

Backend

• Deploy using Docker / VPS / Cloud (AWS, Azure, etc.)

Frontend

npm run build

Deploy the build/ folder to any static hosting service.

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📌 Use Cases

• AI Chat Applications
• Custom AI Agents
• Automation Systems
• Business Intelligence Tools

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🤝 Contributing

Contributions are welcome!

1. Fork the repository
2. Create a new branch
3. Make your changes
4. Submit a pull request

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📄 License

This project is licensed under the MIT License.

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👨‍💻 Author

Developed by STech World

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⭐ Support

If you like this project, please give it a ⭐ on GitHub!

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