This session dives into how software engineers can build these next‑generation agents using LangChain4j, the Model Context Protocol (MCP), and the Oracle SQLcl MCP Server to integrate seamlessly with the Oracle AI Database.

We’ll explore how LangChain4j’s Java‑native abstractions simplify agent construction, enabling developers to define tools, memory, retrieval strategies, and reasoning loops with minimal friction.
From there, we’ll examine how MCP standardizes communication between agents and external systems, allowing SQLcl to expose Oracle Database capabilities as MCP tools.

By the end, you’ll understand how to combine these components into a production‑ready architecture for intelligent, autonomous systems.