MCP becomes especially interesting when it connects AI agents to systems that already exist in enterprise applications. For Java teams, Spring AI is one practical way to build that bridge. Why build an MCP server? An MCP server exposes tools or data sources to AI clients through a shared protocol. Instead of wiring every AI client directly into your application, you can provide a controlled integration layer: AI client -> MCP server -> application logic or data source Enter fullscreen mode Exit fullscreen mode That layer can enforce boundaries, validate inputs and keep tool behavior explicit. Why Spring AI fits Spring teams already have patterns for: dependency injection configuration security observability REST APIs database access testing If your organization runs a lot of Java and Spring Boot, building AI tool integrations inside that ecosystem can be easier to operate than a separate experimental stack.…