Spring AI MCP PoC

A Proof of Concept demonstrating integration between Spring AI framework, GitHub MCP (Model Context Protocol) server, and LLM models.

Overview

This project showcases how to build an AI-powered application that can:

• Process natural language prompts using Spring AI
• Integrate with GitHub through MCP (Model Context Protocol)
• Leverage OpenAI's GPT models for intelligent responses
• Provide GitHub-specific functionality through function calling

Architecture

User Request → Spring Boot API → Spring AI → OpenAI LLM
                     ↓
              GitHub MCP Server → GitHub API

Features

• Spring AI Integration: Leverage Spring AI framework for LLM interactions
• GitHub MCP Support: Connect to GitHub through Model Context Protocol
• Function Calling: AI can invoke GitHub operations based on user prompts
• RESTful API: Clean REST endpoints for prompt processing
• Configurable: Easy configuration for different environments
• Error Handling: Robust error handling and logging

Prerequisites

• Java 17 or higher
• Gradle 8.6+ (or use the included wrapper)
• OpenAI API key
• GitHub MCP server running (optional for basic functionality)

Setup

1. Clone the Repository

git clone https://github.com/shesadri/spring_ai_mcp_poc.git
cd spring_ai_mcp_poc

2. Configure Environment Variables

Create a .env file or set environment variables:

export OPENAI_API_KEY="your-openai-api-key"
export GITHUB_MCP_SERVER_URL="http://localhost:3000"  # Optional
export GITHUB_TOKEN="your-github-token"  # Optional for enhanced features

3. Configure Application Properties

Edit src/main/resources/application.yml or use environment variables:

spring:
  ai:
    openai:
      api-key: ${OPENAI_API_KEY:your-openai-api-key-here}
      
app:
  github:
    mcp:
      server:
        url: ${GITHUB_MCP_SERVER_URL:http://localhost:3000}

4. Build and Run

# Build the project
./gradlew build

# Run the application
./gradlew bootRun

# Or run with specific profile
./gradlew bootRun --args='--spring.profiles.active=dev'

# Alternative: Use custom tasks
./gradlew runDev    # Development profile
./gradlew runProd   # Production profile

The application will start on http://localhost:8080

Usage

Health Check

curl http://localhost:8080/api/v1/health

Process a Prompt

curl -X POST http://localhost:8080/api/v1/prompt \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Tell me about Spring AI framework",
    "enableMcpTools": true
  }'

GitHub-specific Prompts

curl -X POST http://localhost:8080/api/v1/prompt \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Show me information about my GitHub repositories",
    "enableMcpTools": true
  }'

Get Available MCP Tools

curl http://localhost:8080/api/v1/mcp/tools

API Endpoints

Request/Response Format

Prompt Request

{
  "prompt": "Your question or instruction",
  "context": "Optional context",
  "enableMcpTools": true,
  "githubToken": "optional-github-token"
}

Prompt Response

{
  "response": "AI generated response",
  "mcpData": {
    "repositories": [...],
    "status": "success"
  },
  "usedMcpTools": true,
  "timestamp": "2024-01-01T12:00:00",
  "status": "success",
  "model": "gpt-4"
}

Configuration

Environment Variables

• OPENAI_API_KEY: Your OpenAI API key (required)
• GITHUB_MCP_SERVER_URL: URL of your GitHub MCP server (optional)
• GITHUB_TOKEN: GitHub personal access token (optional)
• PORT: Server port (default: 8080)

Application Properties

See application.yml for detailed configuration options including:

• AI model settings
• Server configuration
• CORS settings
• Logging levels
• Management endpoints

GitHub MCP Server

This application expects a GitHub MCP server to be running for enhanced GitHub functionality. The MCP server should provide:

• Repository information endpoints
• Issue management capabilities
• Pull request operations
• Code search functionality

If no MCP server is available, the application will still work but with limited GitHub integration.

Development

Running Tests

./gradlew test

Development Profile

./gradlew runDev
# or
./gradlew bootRun --args='--spring.profiles.active=dev'

Building for Production

./gradlew clean build
java -jar build/libs/spring-ai-mcp-poc-1.0.0-SNAPSHOT.jar

Gradle Commands

# Build project
./gradlew build

# Run application
./gradlew bootRun

# Run tests
./gradlew test

# Clean build
./gradlew clean

# Generate Gradle wrapper (if needed)
gradle wrapper --gradle-version 8.6

# Check dependencies
./gradlew dependencies

# Build info
./gradlew tasks

Project Structure

src/
├── main/
│   ├── java/com/example/springaimcp/
│   │   ├── SpringAiMcpApplication.java     # Main application class
│   │   ├── config/
│   │   │   └── SpringAiConfig.java         # Spring AI configuration
│   │   ├── controller/
│   │   │   └── PromptController.java       # REST API endpoints
│   │   ├── service/
│   │   │   ├── AiMcpService.java          # Main service orchestrating AI and MCP
│   │   │   └── mcp/
│   │   │       └── GitHubMcpClient.java   # GitHub MCP client
│   │   └── model/
│   │       ├── PromptRequest.java         # Request model
│   │       └── PromptResponse.java        # Response model
│   └── resources/
│       ├── application.yml                # Main configuration
│       └── application.properties         # Alternative configuration
└── test/
    └── java/
        └── ... # Test classes

# Gradle files
build.gradle                     # Gradle build script
settings.gradle                  # Gradle settings
gradle/
└── wrapper/
    ├── gradle-wrapper.properties    # Gradle wrapper config
    └── gradle-wrapper.jar          # Gradle wrapper JAR
gradlew                         # Gradle wrapper script (Unix)
gradlew.bat                     # Gradle wrapper script (Windows)

Technologies Used

• Spring Boot 3.2.5: Application framework
• Spring AI 1.0.0-M1: AI integration framework
• OpenAI GPT-4: Large Language Model
• WebFlux: Reactive web client for MCP communication
• Jackson: JSON processing
• Gradle 8.6: Build tool

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request

License

This project is licensed under the MIT License.

Troubleshooting

Common Issues

1. OpenAI API Key Issues

   • Ensure your API key is valid and has sufficient credits
   • Check the environment variable is properly set

2. MCP Server Connection Issues

   • Verify the MCP server is running
   • Check the server URL configuration
   • Review network connectivity

3. GitHub Integration Issues

   • Ensure GitHub token has proper permissions
   • Verify MCP server GitHub configuration

4. Gradle Issues

   • Use ./gradlew --version to check Gradle version
   • Run ./gradlew clean build to clean and rebuild
   • Check Java version with java -version

Logs

Check application logs for detailed error information:

# View logs in development
tail -f logs/spring-ai-mcp-poc.log

# Increase log level for debugging
export LOGGING_LEVEL_COM_EXAMPLE_SPRINGAIMCP=DEBUG

Gradle Wrapper

If you encounter issues with the Gradle wrapper:

# Regenerate wrapper files
gradle wrapper --gradle-version 8.6

# Make gradlew executable on Unix systems
chmod +x gradlew

Support

For issues and questions:

• Create an issue in this repository
• Check the Spring AI documentation
• Review OpenAI API documentation
• Consult Gradle documentation