Reverse engineer anything with agents, from app behavior down to native binaries.
Jadx AI MCP
Plugin for JADX to integrate MCP server
Install: git clone https://github.com/zinja-coder/jadx-ai-mcp
Install
git clone https://github.com/zinja-coder/jadx-ai-mcpInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →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 ⭐
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<b>Haicaji</b>
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<b>Mostafa Nazari</b>
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<b>badmonkey7</b>
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<b>ZERO-A-ONE</b>
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<b>LilNick0101</b>
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<b>lwsinclair</b>
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<b>LYC-Android</b>
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<b>zbhello</b>
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<b>1yearning1</b>
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<b>mhsjzsq</b>
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<b>darkblack1234</b>
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<b>Merrg1n</b>
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Read The Docs
- Read The Docs is now live: https://jadx-ai-mcp.readthedocs.io/en/latest/
🤖 What is JADX-AI-MCP?
JADX-AI-MCP is a plugin for the JADX decompiler that integrates directly with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude.
Think: "Decompile → Context-Aware Code Review → AI Recommendations" — all in real time.
High Level Sequence Diagram
sequenceDiagram
LLM CLIENT->>JADX MCP SERVER: INVOKE MCP TOOL
JADX MCP SERVER->>JADX AI MCP PLUGIN: INVOKE HTTP REQUEST
JADX AI MCP PLUGIN->>REQUEST HANDLERS: INVOKE HTTP REQUEST HANDLER
REQUEST HANDLERS->>JADX GUI: PERFORM ACTION/GATHER DATA
JADX GUI->>REQUEST HANDLERS: ACTION PERFORMED/DATA GATHERED
REQUEST HANDLERS->>JADX AI MCP PLUGIN: CRAFT HTTP RESPONSE
JADX AI MCP PLUGIN->>JADX MCP SERVER:HTTP RESPONSE
JADX MCP SERVER->>LLM CLIENT: MCP TOOL RESULT
Watch the demos!
- Perform quick analysis
https://github.com/user-attachments/assets/b65c3041-fde3-4803-8d99-45ca77dbe30a
- Quickly find vulnerabilities
https://github.com/user-attachments/assets/c184afae-3713-4bc0-a1d0-546c1f4eb57f
- Multiple AI Agents Support
https://github.com/user-attachments/assets/6342ea0f-fa8f-44e6-9b3a-4ceb8919a5b0
- Run with your favorite LLM Client
https://github.com/user-attachments/assets/b4a6b280-5aa9-4e76-ac72-a0abec73b809
- Analyze The APK Resources
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