本课程核心教你如何利用 模型上下文协议 (MCP) 和 OpenClaw 框架，将 AI 智能体直接接入 Ghidra、x64dbg 和 dnSpy 等专业逆向工具，从而打破传统“复制粘贴代码让 AI 解释”的局限，步入自主化逆向工程的新阶段。你将从零开始掌握二进制提示词工程与多模型编排（包括 Claude Code、Codex 及 OpenRouter 免费模型），让 AI 能够自主执行静态分析与动态调试、自动记忆并优化工作流，最终实现自动推导序列号、编写注册机以及自动化破解补丁等高级实战任务。
Last updated 6/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 3h 37m | Size: 3.36 GB
Use AI agents and Model Context Protocol (MCP) to automate debugging, disassembly and malware analysis with AI
What you’ll learn
What is Model Context Protocol (MCP) and how it connects AI to tools
What is OpenClaw and how it enables multi-tool workflows
How AI agent remembers workflows
Connecting AI to Debuggers
Prompt engineering for binary analysis
How to easily fix OpenClaw issues
Managing different AI Models
Use OpenRouter Free Models with OpenClaw
Using Codex and Claude Code with OpenClaw
Using Codex directly for reverse engineering
Dynamic and static analaysis
Connecting OpenClaw to x64dbg, ghidra and dnSpy using MCP
Using OpenClaw to interpret assembly code to derive serial key
Using OpenClaw to create keygens, bypass Trial Period, disable Nags
and more. . .
Requirements
Familiarity with tools like debuggers or disassemblers (helpful, not required)
No prior AI experience needed — you’ll learn everything step-by-step
A paid ChatGPT plus subscription, but I will also show how to use OpenRouter Free Models
Description
Step into the next evolution of reverse engineering — where AI doesn’t just assist you… it works with you .
In this course, you’ll learn how to build AI-powered reverse engineering workflows by combining
– OpenClaw (multi-tool AI orchestration)
– Codex
– Claude Code
– Model Context Protocol (MCP)
– LLMs
Instead of manually analyzing binaries step-by-step, you’ll design systems where an AI agent automate your workflow using several LLMs at your disposal — just like a team of intelligent reverse engineers.
Welcome to AI Reverse Engineering with OpenClaw & MCP — where reverse engineering meets autonomous AI systems.
Why This Course is Different
Most AI + reverse engineering courses stop at
“Ask ChatGPT to explain assembly”
This course goes far beyond that.
You will learn how to
1. Connect AI directly to real tools (debuggers, disassemblers and decompilers)
2. Use MCP as the bridge between tools and AI
3. Use OpenClaw, Codex and Claude Code as the brain to orchestrate multiple reverse engineering tools
4. Use ChatGPT plus paid subscription to use its codex service
5. Use OpenRouter Free Models
This is not theory.
This is hands-on AI-powered reversing.
What You’ll Learn
Foundations
– What is Model Context Protocol (MCP) and how it connects AI to tools
– What is OpenClaw and how it enables multi-tool workflows
– Using Codex and Claude Code in Reverse Engineering
AI + Reverse Engineering Integration
– Connecting AI to
– Debuggers (x64dbg, etc.)
– Disassemblers & decompilers (x64dbg, Ghidra, dnSpy, radare2, etc.)
– Structuring context for reverse engineering tasks
– Prompt engineering for binary analysis
Who this course is for
Reverse engineers who want to increase their productivity by using AI
Malware analysts looking to automate workflows
Ethical hackers and pentesters exploring AI-driven tooling
Developers curious about multi-tooling AI systems
Anyone interested in AI + cybersecurity integration using OpenClaw
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