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filesystem vs jadx-mcp-server

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

filesystem
by modelcontextprotocol
jadx-mcp-server
by zinja-coder
Stars★ 85,748★ 487
30d uses
Score7751
Official
Categories
File SystemDeveloper ToolsProductivity
Developer ToolsSecurityAI / LLM Tools
LanguageTypeScriptPython
Last committhis month1 mo ago

filesystem · Summary

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

jadx-mcp-server · Summary

An MCP server for JADX-AI Plugin that enables reverse engineering of Android APKs through LLM tool calls.

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-mcp-server · Use cases

  • Vulnerability detection in Android applications
  • Automated code analysis for malware research
  • AI-assisted reverse engineering of APKs

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-mcp-server · Install

Installation

  1. Download the latest release from [GitHub](https://github.com/zinja-coder/jadx-ai-mcp/releases)
  1. Install required dependencies:
pip install -r requirements.txt
  1. Start the MCP server:
python server.py
  1. Configure Claude Desktop to use the server:
{
  "mcpServers": {
    "jadx": {
      "command": "python",
      "args": ["path/to/server.py"],
      "env": {
        "JADX_HOST": "localhost",
        "JADX_PORT": "8080"
      }
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.