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AI and MCP for Reverse Engineering
Role Play
Rating: 4.6 out of 5(34 ratings)
394 students

AI and MCP for Reverse Engineering

AI assisted reversing by integrating LLMs with tools via Model Context Protocol (MCP) to automate & accelerate analysis
Created byPaul Chin, PhD
Last updated 1/2026
English
English
Purchase options
  • 30-day money-back guarantee
  • Full lifetime access

What you'll learn

  • What Model Context Protocol (MCP) is
  • How to enable AI integration in reverse engineering and debugging
  • How to connect LLM-based AI hosts to your debugging, disassembly, and decompiling tools and workflows
  • Prompt engineering and context structuring techniques for reverse engineering tasks
  • Real-world use cases where AI significantly enhances reverse engineering, debugging, and static analysis
  • Vibe coding your MCP tools
  • Create your own MCP server
  • Use cloud-based LLM and also run LLM locally for reverse engineering
  • Run Windows-based LLM and also Linux-based LLM
  • MCP servers for x64dbg, dnSpy, ghidra, Cutter, IDA Pro and more
  • Run MCP server in virtual machine and access from the host machine
  • Create your own Crackmes for testing
  • Use Claude Desktop, 5ire and LM Studio for MCP integration
  • Run your own LLM models using LM Studio for Inferencing
  • Using OpenAI API for LLM
  • AI-assisted reverse engineering of x86 and x64 windows and Linux binaries
  • and more. . .

This course includes:

  • 2 Role Plays
  • 12.5 hours on-demand video
  • 2 articles
  • 84 downloadable resources
  • Access on mobile and TV
  • Full lifetime access
  • Closed captions
  • Certificate of completion

Course content

24 sections75 lectures12h 33m total length
  • Introduction7:25

    Welcome to the course!

  • Introduction to MCP14:02

    Understanding the need for Model Context Protocol including basic terms used in the domain

  • Installing the Supporting Tools10:02

    Installing the background tools that MCP projects need, eg, java jdk, node.js, python and uv.

  • Installing the Host UI17:25

    How to choose Host UIs and then install them. Also how to subscribe to OpenAI API and Claude Desktop.

  • Stdio and http protocols and json configuration files11:00

    Understand stdio, http, sse protocols and json configuration files.

Requirements

  • A basic understanding of reverse engineering or low-level programming
  • Familiarity with tools like debuggers, disassemblers, or decompilers
  • Curiosity and openness to experiment with AI in technical workflows
  • Windows PC

Description

Unlock the power of AI in reverse engineering and binary analysis with Model Context Protocol (MCP).
In this course, you’ll learn how to integrate Large Language Models (LLMs) into your reverse engineering workflow using the Model Context Protocol (MCP) — a cutting-edge framework designed to connect AI hosts with your debugging, disassembly, and decompiling tools.

Inspired by the rise of Vibe Coding—a modern trend focused on fluid, creative, AI-enhanced development—this course brings the same philosophy to the world of reverse engineering. Welcome to AI and MCP for Reverse Engineering: a smarter, more intuitive way to analyze, automate, and understand complex binaries with the help of Generative AI.

Whether you're working in malware analysis, vulnerability research, ethical hacking, or software protection, this course will show you how to leverage AI to automate repetitive tasks, gain intelligent insights, and streamline both static and dynamic analysis.

AI-Driven Debugging and Analysis: Enhancing reverse engineering skills with Generative-AI

You’ll explore how Generative AI can support reverse engineering, static and dynamic analysis for Windows and Linux.

What You’ll Learn

  • What Model Context Protocol (MCP) is and how it enables AI integration in reverse engineering and debugging

  • How to connect LLM-based AI hosts to your debugging, disassembly, and decompiling tools and workflows

  • Prompt engineering and context structuring techniques for reverse engineering tasks

  • AI-assisted reverse engineering for windows x86, x64 and Linux binaries

  • Use cloud-based AI Agents as well as run LLM locally for reverse engineering

  • Vibe-coding your own MCP tools

Who This Course Is For

  • Reverse engineers and malware analysts looking to increase productivity with AI

  • Ethical hackers and penetration testers exploring automation with LLMs

  • Cybersecurity professionals interested in practical AI integration

  • Developers, researchers, and learners curious about applying AI to binary analysis

Prerequisites

  • A basic understanding of reverse engineering or low-level programming

  • Familiarity with tools like debuggers, disassemblers, or decompilers (helpful but not mandatory)

  • Curiosity and openness to experiment with AI in technical workflows

Why Take This Course?

AI and LLMs are rapidly transforming the field of reverse engineering and debugging. With the Model Context Protocol as your bridge, you can plug powerful AI hosts into your environment and achieve deeper insights with less manual effort. Whether you're analyzing malware, reversing binaries, debugging protected applications, or decompiling complex binaries, this course equips you with the hands-on skills to make AI your trusted assistant in technical analysis.

And now, with AI and MCP for Reverse Engineering, you're not just learning to reverse — you're learning to reverse with clarity, creativity, and intelligent flow.

Enroll now and I will see you inside!

Who this course is for:

  • Reverse engineers and malware analysts looking to increase productivity with AI
  • Ethical hackers and penetration testers exploring automation with LLMs
  • Cybersecurity professionals interested in practical AI integration
  • Developers, researchers, and learners curious about applying AI to binary analysis and debugging

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Total:
Current price¥35,400
Instructor
Paul Chin, PhD

Paul Chin, PhD

Paul Chin, PhD
  • 4.5 Instructor Rating
  • 10,089 Reviews
  • 367,982 Students
  • 37 Courses

I am a semi-retired college lecturer with a PhD in Computer Science and over 30 years of experience in teaching computing and information technology. My passion for knowledge spans various fields, including reverse engineering, coding, music, health, spirituality, and well-being. In my free time, I enjoy playing the piano, which adds a creative balance to my technical pursuits. Whether teaching face-to-face or online, I find fulfillment in inspiring students to succeed and achieve their dreams through practical skills and personal growth.

4.6 course rating34 ratings

Shaun

Rating: 4.0 out of 52 months ago

I found this section a little difficult because the windows defender was blocking my x64dbg plugins so I had to run powershell and run command in the plugin folder path C:\Program Files etc etc \Plugins

run command childitem -recursive ¦ unlock-file or go to each and right click properties and unlock ok now.

However I used goodle and clause to find how to fix so I have learned something. Some of the features are different in Claude to the course so maybe it ahs changed since but all seems to work now. So far so good.

When doing reverse engineering, or, any cybersecurity tasks, we should always disable windows antivirus realtime protection, so that it will not block what we are trying to do. Another important recommendation is to use virtual machines to run the target program you are analyzing. That is also covered in this course.

Tony

Rating: 5.0 out of 52 months ago

Good overview

Thanks, Tony!

Emmanuel

Rating: 4.0 out of 52 months ago

Overall: good: covers a lot of stuff, bad: I had different expectations.

While I applaud the variety of debugger/disassemblers used here, I expected more focus on a leading application like Ghidra, and a bit less so on x64dbg perhaps.

Also, a lot of video time was about installing tools, but not so much about how to use them as effectively as possible, like prompt engineering perhaps. There's a small section about "optimizing" but I would have taken more hints about this. Sure I can try all of this by myself and figure out what works best for various MCP tools and various LLM, but I though that was the point of this course. I mean, I don't need lectures about doing setup steps from readme (and I can even ask a chatbot to assist me in any "how to..."), I'd rather want a knowledgeable person to share their experience, caveats, tricks, etc.

Also, on a practical note: I found it rather odd to use elevated privileges in terminal and applications. While that could be accepted in a discardable VM, that's not good practice to do so in general. Same for those "pip install" in a system-wide Python installation (ok in a discardable VM, but not in general). Instead, why not take a few seconds for creating a folder, "uv init", "uv venv", "uv add ". Then in the MCP host config (e.g. Claude), that's only "uv run --directory your/dir script_name.py". As such, I did everything in this course without any elevated prompts and it worked fine (except for installing node and uv system-wide perhaps). I don't see why elevated privileged were ever needed, even x64dbg worked just fine without.

On the plus side, I mentioned the wide coverage and +1 for bringing up streamable-http protocol, that is fairly new and just begins to be widely supported. And to be fair, this is not a "thousands of dollars course" either, so maybe my expectations were just a bit too high as well as somewhat misaligned. This is well worth the money overall.

This course is intentionally designed to help beginners get MCP working end-to-end in the easiest possible way. Learners are free to use uv or venv if they prefer, as these are good practices. For me, however, storage efficiency and simplicity are practical considerations. Regarding administrative privileges: in the context of software cracking, reverse engineering, or malware analysis, tools generally need to be run with elevated permissions. Without sufficient privileges, debuggers and monitoring tools may be restricted by permission boundaries or fail to observe certain system-level behaviors. For this reason, the course demonstrates a split analysis setup, where the target and tooling run inside a virtual machine with elevated privileges, while the LLM runs on the host machine. I’m pleased to hear that you found the course worthwhile overall. Thank you for taking my course.

Chata

Rating: 5.0 out of 54 months ago

This is a very good course. It has really opened my understanding of reverse engineering. It makes my job easier.
Great job Professor Paul and keep up the good work.

Thanks, Chata. I appreciate it very much!
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