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
- Clone this repository:
git clone https://github.com/your-repo/spring-boot-ai-mcp-client.git cd spring-boot-ai-mcp-client
- Update application properties with the required values:
- OpenAI API Key
- MCP Server Paths
- Environment variables required by each MCP server
- 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