Description
AI and MCP for Reverse Engineering is a course on using AI and the Context Model Protocol (MCP) to analyze, parse, and understand software systems published by Udemy Online Academy. This is an advanced course designed to teach you how to use AI and the Context Model Protocol (MCP) to analyze, parse, and understand software systems. The course focuses on using AI-based workflows and contextual reasoning to simplify reverse engineering, make it easier to interpret, modify, and secure complex systems. Unleash the power of AI in reverse engineering and binary analysis with the Context Model Protocol (MCP).
In this course, you will learn how to integrate Large Language Models (LLMs) into your reverse engineering workflow using the Context Model Protocol (MCP) – an advanced framework designed to connect AI hosts with your debugging, disassembly, and compilation analysis tools. Whether you work in malware analysis, vulnerability research, ethical hacking, or software protection, this course will show you how to use artificial intelligence to automate repetitive tasks, gain intelligent insights, and simplify static and dynamic analytics.
What you will learn in AI and MCP for Reverse Engineering:
- What is the Model Context Protocol (MCP)?
- How to enable AI integration in reverse engineering and debugging?
- How to connect LLM-based AI hosts to your debugging, isolation, and analysis tools and workflows?
- Rapid engineering techniques and context structuring for reverse engineering tasks
- Real-world use cases where AI significantly improves reverse engineering, debugging, and static analysis?
- Vibe Coding Your MCP Tools
- Create your own MCP server
- Use cloud-based LLM as well as running LLM locally for reverse engineering
- Run Windows-based LLM as well as Linux-based LLM
- MCP servers for x64dbg, dnSpy, ghidra, Cutter, IDA Pro and more
- Run MCP server in a 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 inference
- Use OpenAI API for LLM
- and…
Course specifications
Publisher: Udemy
Instructors: Paul Chin, PhD
Language: English
Level: Introductory
Number of Lessons: 70
Duration: 12 hours and 12 minutes
Course topics on 2025/9
AI and MCP for Reverse Engineering Prerequisites
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
Pictures
AI and MCP for Reverse Engineering introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
7.3 GB
