Tools, MCP and Agents with LangChain4j

Move from "text generator" to "action taker." You'll expose Java methods as tools using @Tool annotations and watch the AI chain them automatically with the ReAct pattern. Then you'll explore Model Context Protocol (MCP)—an open standard for AI-to-tool communication—and build a Supervisor Agent that dynamically orchestrates sub-agents to read files, analyze content, and summarize results

Pre-requisites:
Check out the LangChain4j beginners series: https://aka.ms/langchain4j-for-beginners
Sign up for an Azure free trial: https://aka.ms/AzureFreeTrialDevRelAll