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ultimate_mcp_server vs jadx-ai-mcp

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

ultimate_mcp_server
by Dicklesworthstone
jadx-ai-mcp
by zinja-coder
Stars★ 149★ 2,023
30d uses
Score8554
Official
Categories
AI / LLM ToolsBrowser AutomationFile System
SecurityDeveloper ToolsAI / LLM Tools
LanguagePythonJava
Last commit2 mo ago1 mo ago

ultimate_mcp_server · Summary

Comprehensive MCP server providing dozens of capabilities for AI agents including LLM delegation, browser automation, document processing, and cognitive memory systems.

jadx-ai-mcp · Summary

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

ultimate_mcp_server · Use cases

  • Complex document processing and analysis with OCR and structured data extraction
  • Web automation and research across multiple sites with browser control
  • Cost-optimized AI workflows through intelligent task delegation between models

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

ultimate_mcp_server · Install

Installation

  1. Clone the repository:
git clone https://github.com/Dicklesworthstone/ultimate_mcp_server.git
cd ultimate_mcp_server
  1. Install dependencies:
pip install -e .
  1. For Claude Desktop integration, add to your claude_desktop_config.json:
{
  "mcpServers": {
    "ultimate-mcp": {
      "command": "python",
      "args": ["-m", "ultimate_mcp_server"],
      "env": {
        "PYTHONPATH": "."
      }
    }
  }
}
  1. Run the server:
python -m ultimate_mcp_server

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.