How to turn an MCP server from a Spring service in one evening, and what will keep you awake afterward
Summary
This article explains how to turn an existing Spring service into an MCP server in one evening. It walks through the Spring AI MCP setup, the required dependencies, and the server configuration needed to expose tools to LLMs. It also covers practical design concerns such as authorization, prompt injection, rate limiting, observability, and governance. The piece emphasizes that MCP can extend existing REST APIs into AI-ready interfaces without a full platform rewrite.
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