No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by LaurieWired · MCP Server · ★ 10.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is GhidraMCP safe to install? View the security audit →
ghidraMCP ghidraMCP is an Model Context Protocol server for allowing LLMs to autonomously reverse engineer applications. It exposes numerous tools from core Ghidra functionality to MCP clients. https://github.com/user-attachments/assets/36080514-f227-44bd-af84-78e29ee1d7f9 Features MCP Server + Ghidra Plugin Decompile and analyze binaries in Ghidra Automatically rename methods and data List methods, classes, imports, and exports Installation Prerequisites Install Ghidra Python3 MCP [SDK](https://github.com/modelcontextprotocol/py
| Stars | 10,143 |
| Forks | 1,047 |
| Language | Java |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.4527060301249/100 |
| Open Issues | 84 |
| Last Updated | 2025-06-23 |
| Created | 2025-03-23 |
| Platforms | java, mcp |
| Est. Tokens | ~15k |
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GhidraMCP is MCP Server for Ghidra. It is categorized as a MCP Server with 10.1k GitHub stars.
GhidraMCP is primarily written in Java.
You can find installation instructions and usage details in the GhidraMCP GitHub repository at github.com/LaurieWired/GhidraMCP. The project has 10.1k stars and 1047 forks, indicating an active community.
GhidraMCP is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to GhidraMCP on Agent Skills Hub include UI-TARS-desktop, github-mcp-server, serena. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: