Tools, MCP and Agents with LangChain4j

Description

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. 📌 This event is a part of a series, learn more here: https://aka.ms/LangChain4j/yt #microsoftreactor #learnconnectbuild [eventID:26586]