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Exposing corporate data to AI agents used to require brittle, custom API glue code. Anthropic’s Model Context Protocol (MCP) changes the game. Here is how to implement it in Java. #
Every single enterprise architect today is dealing with the exact same issue: The business wants an AI agent that queries the secure, internal corporate database and answers any questions.
In the past, it used to be handled by creating your own “AI Wrapper.” You created a REST API, you crafted an enormous system prompt asking the LLM to respond in JSON, parsed the output from the LLM, made the API call for it, and provided the data.
It was not robust; one bad hallucination and the whole chain broke down.
However, the new Model Context Protocol (MCP) offered by Anthropic, an open-source protocol, does away with all that custom code and gives a unified way of integrating an AI model with external data source through JSON-RPC. Let me show you how to build an MCP server with Spring Boot.