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 zinja-coder · MCP Server · ★ 2.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is jadx-ai-mcp safe to install? View the security audit →
JADX-AI-MCP (Part of Zin MCP Suite) ⚡ Fully automated MCP server + JADX plugin built to communicate with LLM through MCP to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, analyze APK, and reverse engineer effortlessly. ⭐ Contributors Thanks to these wonderful people for their contributions ⭐ ljt270864457
| Stars | 2,820 |
| Forks | 258 |
| Language | Java |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 63.8538910544794/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-23 |
| Created | 2025-04-07 |
| Platforms | java, mcp |
| Est. Tokens | ~22k |
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jadx-ai-mcp is Plugin for JADX to integrate MCP server. It is categorized as a MCP Server with 2.8k GitHub stars.
jadx-ai-mcp is primarily written in Java. It covers topics such as ai, java, llm.
You can find installation instructions and usage details in the jadx-ai-mcp GitHub repository at github.com/zinja-coder/jadx-ai-mcp. The project has 2.8k stars and 258 forks, indicating an active community.
jadx-ai-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to jadx-ai-mcp on Agent Skills Hub include fastapi_mcp, hexstrike-ai, mcp-use. 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: