ghidra-mcp
Integrates advanced reverse engineering capabilities directly into AI workflows, accelerating vulnerability research and binary analysis.
Ghidra MCP Server — 200+ MCP tools for AI-powered reverse engineering. GUI plugin + headless server, lazy tool loading, convention enforcement, batch operations, Ghidra Server integration, and Docker deployment.
- Ask Claude to explain complex assembly code snippets found in Ghidra
- Generate summaries of decompiled functions to understand program logic
- Automate the analysis of binary files using Ghidra's reverse engineering tools
Integrates advanced reverse engineering capabilities directly into AI workflows, accelerating vulnerability research and binary analysis. It reduces the manual overhead of navigating complex disassembly by allowing LLMs to interact programmatically with Ghidra.
Security researchers and malware analysts performing automated binary inspection and deep-dive reverse engineering tasks.
https://github.com/bethington/ghidra-mcp
By bethington
How to Get It
claude mcp add ghidra-mcp -- npx -y ghidra-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Explain complex assembly code snippets found in Ghidra
Trust Signals Auto-scanned
Data & Access
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 6,023 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 6,023 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.