GhidraMCP MCP Server

GhidraMCP MCP Server Github

Discover GhidraMCP: Revolutionizing AI-Assisted Binary Analysis

If you're exploring tools for reverse engineering, GhidraMCP is a game-changer. This Ghidra plugin integrates the Model Context Protocol (MCP) to connect AI assistants with Ghidra, enhancing binary analysis with intelligent insights. Perfect for security researchers and developers, GhidraMCP makes complex tasks more efficient and accessible.

What is GhidraMCP?

GhidraMCP is a powerful plugin for Ghidra, a popular reverse engineering tool. By leveraging the Model Context Protocol, it bridges AI models with Ghidra, allowing users to interact with binaries using natural language and gain deep insights into code structures and potential vulnerabilities.

How to Use GhidraMCP

  • Download the latest GhidraMCP release from its GitHub page.
  • Install it in Ghidra via File > Install Extensions.
  • Restart Ghidra and enable the plugin under File > Configure > Miscellaneous.
  • Once activated, the MCP server runs on localhost:8765, ready to connect with AI assistants like Claude for real-time analysis.

Key Features of GhidraMCP

  • AI-Powered Analysis: Use AI to analyze binaries through natural language queries.
  • Deep Code Insights: Access decompiled code and detailed function data.
  • Security Focus: Detect vulnerabilities and cryptographic patterns.
  • Cross-Platform: Compatible with all Ghidra-supported systems.

User Case: Security Research with GhidraMCP

Security analysts can use GhidraMCP to identify malware behaviors by asking questions like, "What suspicious API calls does this binary make?" The AI provides instant insights, saving time and enhancing threat detection.

FAQ about GhidraMCP

  • What is GhidraMCP? A plugin integrating AI with Ghidra for binary analysis.
  • Is it free? Yes, it's open-source and available on GitHub.
  • Which AI models work with GhidraMCP? It supports MCP-compatible assistants like Claude.

Explore GhidraMCP today to transform your reverse engineering workflow with AI-driven precision!

Visual Examples

## Demo Videos

Demo Videos

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