This project demonstrates how to build an MCP (Model-Connected Processing) client using Spring Boot AI. The MCP client allows seamless interaction with external MCP servers, enabling AI models to perform dynamic tool calls and retrieve data efficiently.

For a detailed step-by-step guide on building an MCP client using Spring Boot AI, check out our blog:
Building an MCP Client with Spring Boot AI: A Beginner’s Guide

1. Clone this repository:

   git clone https://github.com/your-repo/spring-boot-ai-mcp-client.git
   cd spring-boot-ai-mcp-client

2. Update application properties with the required values:
   • OpenAI API Key
   • MCP Server Paths
   • Environment variables required by each MCP server
3. Build and run the application:

   mvn spring-boot:run

Before running the application, make sure to replace all placeholder values for:

• OpenAI API Key
• MCP Server Paths
• Any required environment variables for each MCP server