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    Ai And Mcp For Reverse Engineering

    Posted By: ELK1nG
    Ai And Mcp For Reverse Engineering

    Ai And Mcp For Reverse Engineering
    Published 9/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 9.04 GB | Duration: 11h 58m

    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!

    Overview

    Section 1: MCP Basics

    Lecture 1 Introduction

    Lecture 2 Introduction to MCP

    Lecture 3 Installing the Supporting Tools

    Lecture 4 Installing the Host UI

    Lecture 5 Stdio and http protocols and json configuration files

    Section 2: AI and MCP for x64dbg debugger

    Lecture 6 x64dbg configuration using http with mcp-remote (AgentSmither's MCP)

    Lecture 7 Using AI to find secret code from an exe

    Lecture 8 x64dbg configuration using stdio protocol (Wasdubya MCP)

    Lecture 9 Using AI with an interactive exe

    Section 3: Create crackmes for MCP studies

    Lecture 10 Intro to creating crackmes

    Lecture 11 Installing Dev-C++

    Lecture 12 Build your own crackme

    Section 4: x64dbg-automate

    Lecture 13 Intro to x64dbg-automate

    Lecture 14 Installing x64dbg-automate

    Section 5: MCP Workspace and MCP Coding Conventions

    Lecture 15 Install Visual Studio Code and Python Extensions

    Lecture 16 Create a "Hello World" program using MCP coding conventions

    Section 6: Converting basic code into MCP servers

    Lecture 17 Convert basic python code into MCP server

    Lecture 18 Connecting MCP servers to AI agents

    Section 7: Session Control: select debugger

    Lecture 19 Select debugger function - Part 1

    Lecture 20 Select debugger function - Part 2

    Section 8: Session Control: start, detach, terminate, attach and get register

    Lecture 21 Start session function

    Lecture 22 Detach session function

    Lecture 23 Terminate session function

    Lecture 24 Attach session and get register functions

    Section 9: Operations on x32 and x64 registers

    Lecture 25 Dumping x32 and x64 registers

    Lecture 26 Setting x32 and x64 registers

    Lecture 27 Getting symbols

    Lecture 28 Calculate memory addresses using eval sync

    Section 10: Create x32 and x64 GUI-based crackmes for MCP studies

    Lecture 29 Intro to building your own gui-based crackmes

    Lecture 30 Installing C++ Builder

    Lecture 31 Build a GUI Crackme - Simple Serial Key Input

    Section 11: Disabling ASLR (Address Space Layout Randomization)

    Lecture 32 Intro to disabling ASLR

    Lecture 33 Using Detect It Easy (DiE) to disable ASLR

    Section 12: Enabling AI Agents to access the virtual machine

    Lecture 34 Intro to enabling AI agents to access the virtual machine

    Lecture 35 Configuring the Split Setup lab architecture

    Section 13: Using Vibe Coding to Implement MCP Tools

    Lecture 36 Implementing Read Memory

    Lecture 37 Using vibe coding to implement mcp tools

    Lecture 38 Vibe coding the memmap tool

    Lecture 39 Vibe coding the write memory and memset tools

    Lecture 40 Vibe coding the disassemble tool

    Lecture 41 Vibe coding the multiline disassembly tool

    Lecture 42 Vibe coding the assemble tool

    Lecture 43 Vibe coding the rest of the mcp tools

    Section 14: Practicals on using AI in reverse engineering

    Lecture 44 Finding critical function that validates serial key

    Lecture 45 Creating keygen for serial key

    Lecture 46 Bypassing trial period

    Lecture 47 Bypassing anti-debugger protection

    Lecture 48 Bypassing client-server activation system

    Section 15: Optimizing MCP Tools

    Lecture 49 Why Optimize

    Lecture 50 Optimizing the mcp tools

    Section 16: Running LLMs locally

    Lecture 51 Introduction to running LLMs locally

    Lecture 52 Installing LM Studio

    Lecture 53 Using Streamable HTTP for MCP communication

    Lecture 54 Loading models and configuring them

    Lecture 55 Using a local model for reverse engineering

    Section 17: .NET MCP

    Lecture 56 Installing .NET MCP server (customized dnSpy)

    Lecture 57 Using .NET MCP in reversing an assembly

    Lecture 58 Using local LLMs in .NET reversing

    Lecture 59 Using OpenAI API with 5ire for MCP reversing

    Lecture 60 Allowing local LLM to access virtual machine

    Section 18: Ghidra MCP

    Lecture 61 Installing ghidra mcp

    Lecture 62 Using ghidra mcp in reversing

    Lecture 63 Accessing ghidra mcp in virtual machine

    Section 19: GhidrAssist MCP

    Lecture 64 Installing GhidrAssist MCP

    Lecture 65 Using GhidrAssist MCP in reversing

    Section 20: IDA Pro MCP Server

    Lecture 66 Installing IDA Pro MCP Server

    Lecture 67 Accessing IDA mcp server in virtual machine from host AI agent using mcp-proxy

    Section 21: Cutter MCP Server on Linux

    Lecture 68 Installing Cutter MCP Server

    Lecture 69 Accessing linux cutter mcp from windows AI agent

    Section 22: Resources for further studies

    Lecture 70 Resources for further studies

    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