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Spring Boot AI MCP Client

by BootcampToProd

This project demonstrates how to build an MCP (Model-Connected Processing) client using Spring Boot AI. It enables AI models to perform dynamic tool calls and retrieve data efficiently.

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Spring Boot AI MCP Client

Overview

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

Setup Instructions

  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
    

Note

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