GhidraMCP bridges the gap between AI assistants and binary analysis by exposing Ghidra's powerful reverse engineering capabilities through the Model Context Protocol. Security researchers and developers can connect their AI assistant to GhidraMCP and ask natural language questions about compiled binaries — 'What does this function do?', 'Find all calls to this API', 'Generate a security report for this binary' — while the MCP server translates those requests into Ghidra operations and returns structured results.
The server exposes key Ghidra operations as MCP tools: listing functions with their addresses and signatures, decompiling functions to pseudo-C code, analyzing cross-references between functions, examining data sections, and navigating symbol tables. This enables AI assistants to perform multi-step reverse engineering workflows autonomously — starting from an entry point, following call chains, identifying suspicious patterns, and synthesizing findings into structured reports without manual intervention.
With 7,900+ GitHub stars, GhidraMCP has attracted significant attention from the security research community. It's particularly valuable for malware analysis, vulnerability research, and binary auditing tasks where AI's ability to rapidly process and summarize large amounts of disassembly output can dramatically accelerate human analysts' workflows. The MCP interface means it works with Claude Desktop, Cursor, and any other MCP-compatible client without custom integration work.
