Developing an MCP Server with Spring AI: Application Development with MCP

The use of MCP (Model Context Protocol) is becoming increasingly important for artificial intelligence applications to communicate effectively with each other. In our previous article, I explained what MCP is and why it is important. In this article, I will talk about how we can create a practical MCP server.

Spring AI is a powerful framework offered by the Spring ecosystem for developing artificial intelligence applications. Therefore, I wanted to build our MCP Server with the world I know best.

Creating the Blog Post MCP Server

To make things tangible, let's envision an MCP server designed to manage our collection of blog posts. This server will empower us to effortlessly list, search, and pinpoint any post we need through AI interactions.

Project Structure

First off, let’s lay the groundwork with a standard Spring Boot project and include the necessary Spring AI MCP Server starter dependency in our pom.xml (or build.gradle):

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-mcp-server-spring-boot-starter</artifactId>
    <version>1.0.0-M6</version>
</dependency>

Blog Post Model