What are the prerequisites for running this project?
You need an OpenAI API key, the paths to the MCP servers you want to connect to, and any environment variables required by each MCP server.
@BootcampToProd
基本信息
A Spring Boot application for interacting with MCP servers using Spring AI Chat Client and Rest Controller
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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
This project demonstrates how to build an MCP (Model-Connected Processing) client using Spring Boot AI. It enables AI models to interact seamlessly with external MCP servers, performing dynamic tool calls and retrieving data efficiently. It is intended for developers learning or implementing MCP clients with Spring Boot AI.
Clone the repository, update the application properties with your OpenAI API Key, the paths to your MCP servers, and any required environment variables for each server. Then run mvn spring-boot:run to start the application.
You need an OpenAI API key, the paths to the MCP servers you want to connect to, and any environment variables required by each MCP server.
After updating the required values in the application properties, run `mvn spring-boot:run` from the project root.
Yes, the README links to a detailed beginner’s guide: “Building an MCP Client with Spring Boot AI: A Beginner’s Guide”.
Clone the repository from the provided GitHub URL: `git clone https://github.com/your-repo/spring-boot-ai-mcp-client.git`.
It demonstrates how to build an MCP client using Spring Boot AI, allowing AI models to make dynamic tool calls and retrieve data from external MCP servers.

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