AI and MCP for Reverse Engineering

Source: https://www.udemy.com/course/ai-mcp-reverse-engineering/

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

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

Password: cms.ddpanda.org