REA: Reverse Engineer Anything with AI Agents and MCP

About this course

AI DISCLOSURE — PLEASE READ FIRST

This course was developed with the assistance of artificial intelligence. AI tools were used to help draft, structure, and organize portions of the curriculum, lecture outlines, technical explanations, scenario prompts, and supporting written materials. All topics, sequencing decisions, accuracy checks, and final quality review were carried out by the instructor. This disclosure is placed at the very beginning of the course so that every learner can make a fully informed decision before enrolling. If you have questions about how AI was used in the creation of this material, please ask in the course Q&A before you purchase.

REA: Reverse Engineer Anything with AI Agents and MCPHave you ever looked at an application and wondered, "How does that feature actually work?

" Perhaps you wanted to understand a specific algorithm, trace how a desktop app communicates with its backend, or analyze a binary to see how a game calculates its physics. Traditionally, reverse engineering has been a high-friction endeavor. It required learning complex, fragmented tools—a disassembler for binaries, a bundler inspector for JavaScript, a packet analyzer for network traffic—and manually stitching their outputs together. Each tool has its own interface, its own output format, and its own quirks.

Today, that paradigm is shifting. Enter REA (Reverse Engineer Anything), an open-source Model Context Protocol (MCP) server and command-line tool that acts as a bridge between AI coding agents (like Claude Code, Codex, Cursor, and Gemini CLI) and professional reverse-engineering engines. This course is a practical, evidence-oriented guide to mastering REA.

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