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ultimate_mcp_server vs jadx-mcp-server

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

ultimate_mcp_server
by Dicklesworthstone
jadx-mcp-server
by zinja-coder
Stars★ 149★ 487
30d uses
Score8551
Official
Categories
AI / LLM ToolsBrowser AutomationFile System
Developer ToolsSecurityAI / LLM Tools
LanguagePythonPython
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-mcp-server · Summary

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

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-mcp-server · Use cases

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

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-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.