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AI Reverse Engineering with OpenClaw and MCP
11 students
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
- 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. . .
Explore related topics
Course content
15 sections • 27 lectures • 2h 56m total length
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)
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 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
AI + Reverse Engineering Integration
Connecting AI to:
Debuggers (x64dbg, etc.)
Disassemblers & decompilers (Ghidra, 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 with AI
Malware analysts looking to automate workflows
Ethical hackers and pentesters exploring AI-driven tooling
Developers curious about multi-tool AI systems
Anyone interested in AI + cybersecurity integration
Why You Should Take This Course
AI is no longer just a helper.
With OpenClaw + MCP, it becomes:
A collaborator
A tool operator
A workflow orchestrator
Instead of doing everything manually, you’ll build a system where:
AI agents analyze binaries
AI agents communicate with tools
AI agents call multiple tools that assist each other
And you guide the process at a higher level
This is the future of reverse engineering.
Enroll now — and start building your own AI reverse engineering lab with OpenClaw & MCP.
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