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jadx-ai-mcp

por zinja-coder · zinja-coder/jadx-ai-mcp

JADX plugin for AI-powered Android APK analysis — decompile, search, rename, debug, and trace xrefs with LLM assistance.

jadx-ai-mcp is a JADX decompiler plugin that integrates with MCP to enable AI-assisted Android APK reverse engineering. It provides 25+ tools for code analysis (class/method browsing, smali access), resource inspection (AndroidManifest, strings), refactoring (rename classes, methods, fields, variables), debugging (stack frames, threads, variables), and cross-reference tracking. Works with Claude Desktop, Cherry Studio, and other MCP clients.

Por qué usarlo

Características clave

Demo en vivo

Cómo se ve en la práctica

jadx-ai-mcp.replay ▶ listo
0/0

Instalar

Elige tu cliente

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "jadx-ai-mcp": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/zinja-coder/jadx-ai-mcp"
      ]
    }
  }
}

Abre Claude Desktop → Settings → Developer → Edit Config. Reinicia después de guardar.

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "jadx-ai-mcp": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/zinja-coder/jadx-ai-mcp"
      ]
    }
  }
}

Cursor usa el mismo esquema mcpServers que Claude Desktop. La configuración del proyecto prevalece sobre la global.

VS Code → Cline → MCP Servers → Edit
{
  "mcpServers": {
    "jadx-ai-mcp": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/zinja-coder/jadx-ai-mcp"
      ]
    }
  }
}

Haz clic en el icono MCP Servers de la barra lateral de Cline y luego en "Edit Configuration".

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "jadx-ai-mcp": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/zinja-coder/jadx-ai-mcp"
      ]
    }
  }
}

Mismo formato que Claude Desktop. Reinicia Windsurf para aplicar.

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "jadx-ai-mcp",
      "command": "TODO",
      "args": [
        "See README: https://github.com/zinja-coder/jadx-ai-mcp"
      ]
    }
  ]
}

Continue usa un array de objetos de servidor en lugar de un mapa.

~/.config/zed/settings.json
{
  "context_servers": {
    "jadx-ai-mcp": {
      "command": {
        "path": "TODO",
        "args": [
          "See README: https://github.com/zinja-coder/jadx-ai-mcp"
        ]
      }
    }
  }
}

Añádelo a context_servers. Zed recarga en caliente al guardar.

claude mcp add jadx-ai-mcp -- TODO 'See README: https://github.com/zinja-coder/jadx-ai-mcp'

Un solo comando. Verifica con claude mcp list. Quita con claude mcp remove.

Casos de uso

Usos del mundo real: jadx-ai-mcp

How to analyze an Android APK with AI assistance using JADX

👤 Mobile security researchers analyzing APKs they have authorization to test ⏱ ~45 min intermediate

Cuándo usarlo: You have an APK to analyze and want AI to help understand its behavior.

Requisitos previos
  • JADX with jadx-ai-mcp plugin — jadx plugins --install 'github:zinja-coder:jadx-ai-mcp'
  • JADX MCP Server running — Set up the Python MCP server with uv
Flujo
  1. Check the manifest
    Get the AndroidManifest.xml. What permissions does this app request and what components (activities, services, receivers) does it declare?✓ Copiado
    → Parsed manifest with permission analysis
  2. Find interesting classes
    Search for classes related to network communication or encryption. List them with their methods.✓ Copiado
    → Filtered class list with method signatures
  3. Analyze and rename
    Get the source code of the main network class. Rename obfuscated methods to descriptive names based on their behavior.✓ Copiado
    → Decompiled code with meaningful names applied

Resultado: An annotated view of the APK with key functionality understood and obfuscation partially reversed.

Errores comunes
  • Heavily obfuscated apps resist decompilation — Use get_smali_of_class for bytecode-level analysis when decompilation fails
Combinar con: filesystem

Debug an Android app with AI-assisted breakpoint analysis

👤 Android developers and security researchers debugging app behavior ⏱ ~30 min advanced

Cuándo usarlo: You need to understand runtime behavior that isn't clear from static analysis.

Requisitos previos
  • JADX configured for debugging — Connect JADX debugger to a running Android app or emulator
Flujo
  1. Set breakpoints and inspect
    I'm debugging the login flow. Show me the current stack frames and local variables at the authentication method.✓ Copiado
    → Stack trace with variable values at the breakpoint

Resultado: Runtime understanding of app behavior at critical code points.

Errores comunes
  • App detects debugger and exits — Look for anti-debugging checks in the code and bypass them before attaching

Combinaciones

Combínalo con otros MCPs para multiplicar por 10

jadx-ai-mcp + filesystem

Export decompiled and annotated code for documentation

Export the decompiled source of the authentication module and save it to ~/analysis/auth-module.java.✓ Copiado

Herramientas

Lo que expone este MCP

HerramientaEntradasCuándo llamarCoste
fetch_current_class none Get the currently selected class source code 0
search_classes_by_keyword keyword: str Find classes matching a keyword 0
get_android_manifest none Retrieve the AndroidManifest.xml 0
rename_class old_name: str, new_name: str Rename an obfuscated class 0
xrefs_to_method class_name: str, method_name: str Find all references to a method 0
get_smali_of_class class_name: str Get Dalvik bytecode (smali) for a class 0
debug_get_stack_frames none Get current debugger stack frames 0

Coste y límites

Lo que cuesta ejecutarlo

Cuota de API
N/A — fully local
Tokens por llamada
200–2000 tokens per tool call
Monetario
Free — both JADX and the plugin are open source
Consejo
Use search_classes_by_keyword to narrow targets before fetching full class sources.

Seguridad

Permisos, secretos, alcance

Almacenamiento de credenciales: N/A
Salida de datos: All analysis is local. No network calls from the MCP server.

Resolución de problemas

Errores comunes y soluciones

Plugin not loading in JADX

Ensure JADX version is compatible. Try reinstalling with: jadx plugins --install 'github:zinja-coder:jadx-ai-mcp'

Verificar: jadx plugins --list
MCP server connection failed

Ensure the JADX MCP Server is running and the port matches your client config.

Verificar: Check the server terminal for startup messages
Class not found in search

Obfuscated names may not match your search. Try broader patterns or search by method signatures.

Verificar: get_all_classes to see available class names

Alternativas

jadx-ai-mcp vs otros

AlternativaCuándo usarlaContrapartida
jadx-mcp-serverYou only need the MCP server component without the JADX pluginServer-only — still needs the jadx-ai-mcp plugin in JADX
GhidrAssistMCPYou want to analyze native binaries rather than Android Dalvik bytecodeNative binary focus vs Android-specific tools

Más

Recursos

📖 Lee el README oficial en GitHub

🐙 Ver issues abiertas

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