ghidra-mcp: Ghidra MCP Server — 200+ MCP tools for AI-powered reverse engineering

How to install ghidra-mcp

git clone https://github.com/bethington/ghidra-mcp.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 69/100

Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

About ghidra-mcp

Ghidra MCP Server [![Stars](https://img.shields.io/github/stars/bethington/ghidra-mcp?style=for-the-badge&logo=github&logoColor=white&co

Compatible Skills

These tools work well together with ghidra-mcp for enhanced workflows:

• GhidrAssistMCP — semantic(0.71)+rare_topics+same_lang+similar_pop+shared_platform (69%)
• reverse-engineering-assistant — semantic(0.69)+rare_topics+same_lang+similar_pop+shared_platform (64%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

• SlowMist agent-security taxonomy
• Liu et al., An Empirical Study of Agent Skill Security (2026)
• Our census dataset (DOI 10.5281/zenodo.21292799) · Hugging Face mirror
• How we grade: all 42 rules, the source tiers and known limits
• Full methodology & who runs this