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<!-- It is a still in early stage of development, so expects bugs, crashes and logical erros.-->
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<!-- Standalone Plugin for [JADX](https://github.com/skylot/jadx) (Started as Fork) with Model Context Protocol (MCP) integration for AI-powered static code analysis and real-time code review and reverse engineering tasks using Claude.-->
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 Image generated using AI tools.
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## 🤖 What is apktool-mcp-server?
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**apktool-mcp-server** is a plugin for the [JADX decompiler](https://github.com/skylot/jadx) that integrates directly with [Model Context Protocol (MCP)](https://github.com/anthropic/mcp) to provide **live reverse engineering support with LLMs like Claude**.
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**apktool-mcp-server** is a MCP server for the [Apk Tool](https://github.com/iBotPeaches/apktool) that integrates directly with [Model Context Protocol (MCP)](https://github.com/anthropic/mcp) to provide **live reverse engineering support with LLMs like Claude**.
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Think: "Decompile → Context-Aware Code Review → AI Recommendations" — all in real time.
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<!-- Place youtube video -->
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## 🤖 What is apktool-mcp-server?
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**JADX MCP Server** is a standalone Python server that interacts with a `apktool-mcp-server` plugin (see: [apktool-mcp-server](https://github.com/zinja-coder/apktool-mcp-server)) via MCP (Model Context Protocol). It lets LLMs communicate with the decompiled Android app context live.
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## Current MCP Tools
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The following MCP tools are available:
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🔍 Basic Code Understanding
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**TODO**
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🛡️ Vulnerability Detection
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**TODO**
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🛠️ Reverse Engineering Helpers
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**TODO**
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📦 Static Analysis
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**TODO**
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🤖 AI Code Modification
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**TODO**
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📄 Documentation & Metadata
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**TODO**
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---
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## 📦 Features
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**TODO**
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---
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## 🛠️ Getting Started
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### 1. Downlaod from Releases: https://github.com/zinja-coder/apktool-mcp-server/releases
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```bash
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# 0. Download the apktool-mcp-server-<version>.zip
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Also huge thanks to [@aaddrick](https://github.com/aaddrick) for developing Claude desktop for Debian based Linux.
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And in last, thanks to [@anthropics](https://github.com/anthropics) for developing the Model Context Protocol and @FastMCP team.
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And in last, thanks to [@anthropics](https://github.com/anthropics) for developing the Model Context Protocol and [@FastMCP](https://github.com/jlowin/fastmcp) team.
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