Free Download AI and MCP for Reverse Engineering
Published 9/2025
Created by Paul Chin, PhD
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 70 Lectures ( 12h 12m ) | Size: 7.54 GB
AI assisted reversing by integrating LLMs with tools via Model Context Protocol (MCP) to automate & accelerate analysis
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, 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. . .
Requirements
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
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 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 AIYou'll explore how AI can support reverse engineering, static and dynamic analysis for Windows and Linux.What You'll LearnWhat Model Context Protocol (MCP) is and how it enables AI integration in reverse engineering and debuggingHow to connect LLM-based AI hosts to your debugging, disassembly, and decompiling tools and workflowsPrompt engineering and context structuring techniques for reverse engineering tasksAI-assisted reverse engineering for windows x86, x64 and Linux binariesUse cloud-based AI Agents as well as run LLM locally for reverse engineeringVibe-coding your own MCP toolsWho This Course Is ForReverse engineers and malware analysts looking to increase productivity with AIEthical hackers and penetration testers exploring automation with LLMsCybersecurity professionals interested in practical AI integrationDevelopers, researchers, and learners curious about applying AI to binary analysisPrerequisitesA basic understanding of reverse engineering or low-level programmingFamiliarity with tools like debuggers, disassemblers, or decompilers (helpful but not mandatory)Curiosity and openness to experiment with AI in technical workflowsWhy 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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