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filesystem vs jadx-ai-mcp

Side-by-side comparison to help you pick between these two MCP servers.

filesystem
by modelcontextprotocol
jadx-ai-mcp
by zinja-coder
Stars★ 85,748★ 2,023
30d uses
Score7754
Official
Categories
File SystemDeveloper ToolsProductivity
SecurityDeveloper ToolsAI / LLM Tools
LanguageTypeScriptJava
Last committhis month1 mo ago

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

jadx-ai-mcp · Summary

MCP server for JADX decompiler that enables AI-powered APK analysis with tools for reverse engineering and vulnerability detection.

filesystem · Use cases

  • Enable AI models to read and write project files during development
  • Allow Claude or other MCP clients to browse and analyze codebases
  • Provide secure sandboxed access to specific directories for content generation

jadx-ai-mcp · Use cases

  • AI-assisted reverse engineering of Android APKs to understand application structure and behavior
  • Automated vulnerability detection in Android applications through AI analysis of decompiled code
  • Real-time code review and refactoring suggestions during debugging sessions

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

jadx-ai-mcp · Install

Installation

  1. Download the latest releases from [GitHub](https://github.com/zinja-coder/jadx-ai-mcp/releases)
  2. Extract the jadx-mcp-server-<version>.zip file
  3. Install Python dependencies: pip install -r jadx-mcp-server/requirements.txt
  4. Run JADX with the plugin: java -jar jadx-ai-mcp-<version>.jar
  5. Start the MCP server: python jadx_mcp.py

Claude Desktop configuration:

{
  "mcpServers": {
    "jadx": {
      "command": "python",
      "args": ["/path/to/jadx_mcp.py"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.