by mrphrazer · MCP Server · ★ 244
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/mrphrazer/binary-ninja-headless-mcp.git
pip install git+https://github.com/mrphrazer/binary-ninja-headless-mcp.gitTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. 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.
| Stars | 244 |
| Forks | 22 |
| Language | Python |
| Category | MCP Server |
| License | GPL-2.0 |
| Quality Score | 70/100 |
| Last Updated | 2026-09-19 |
| Created | 2026-03-03 |
| Platforms | mcp, python |
| Est. Tokens | ~17k |
Binary Ninja Headless MCP A headless Binary Ninja server that speaks MCP (Model Context Protocol), giving AI agents full access to deep reverse-engineering workflows — disassembly, IL, patching, types, xrefs, and more — without a GUI. Designed to run in the same Docker container as the agent runtime. No sidecars, no extra services.
These tools work well together with binary-ninja-headless-mcp for enhanced workflows:
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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: