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zinja-coder/jadx-ai-mcp

by Various

Plugin for JADX to integrate MCP server

Z

MCP

zinja-coder/jadx-ai-mcp

Added 1 June 2026

#ai #java #llm #mcp #mcp-server #mcp-servers #mobile #model-context-protocol

Overview

A plugin for JADX that integrates a Model Context Protocol (MCP) server, enabling AI assistants to interact with decompiled Android application code. It allows tools to query, navigate, and analyze JADX decompilation results programmatically.

Best for

Best for
Security researchers and developers automating Android app analysis with AI assistants

Use cases

  • Automating reverse engineering workflows by querying decompiled code via AI
  • Integrating AI code analysis into Android app security audits
  • Building custom analysis pipelines that combine JADX output with AI reasoning

How to use

Install

uv pip install httpx fastmcp

Tested with

Claude Desktop

Notes

A plugin for JADX that integrates a Model Context Protocol (MCP) server, enabling AI assistants to interact with decompiled Android application code. It allows tools to query, navigate, and analyze JADX decompilation results programmatically.

2,223 stars on GitHub. Last updated 2026-05-28. Licensed Apache-2.0.

Use cases

  • Automating reverse engineering workflows by querying decompiled code via AI
  • Integrating AI code analysis into Android app security audits
  • Building custom analysis pipelines that combine JADX output with AI reasoning

Pros

  • Leverages JADX’s robust decompilation for Android APKs
  • MCP standard enables flexible integration with various AI tools
  • Open source with active community (2223 stars)

Cons

  • Requires JADX and MCP-compatible AI client setup
  • Limited to Android decompilation use cases
  • Plugin maturity may vary with JADX updates

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Leverages JADX's robust decompilation for Android APKs
  • MCP standard enables flexible integration with various AI tools
  • Open source with active community (2223 stars)

Cons

  • Requires JADX and MCP-compatible AI client setup
  • Limited to Android decompilation use cases
  • Plugin maturity may vary with JADX updates
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