Wax vs ultimate_mcp_server

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

	Wax by christopherkarani	ultimate_mcp_server by Dicklesworthstone
Stars	★ 734	★ 149
30d uses	—	—
Score	53	85
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsDatabase	AI / LLM ToolsBrowser AutomationFile System
Language	Swift	Python
Last commit	this month	2 mo ago

Wax · Summary

Swift-native memory layer for AI agents providing high-performance RAG on Apple Silicon with zero configuration.

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.

Wax · Use cases

Persistent memory for AI coding assistants like Claude Code and Cursor
Local RAG implementation for private on-device AI applications
Session memory management across multiple AI assistant interactions

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

Wax · Install

Installation

Swift Package Manager

dependencies: [
    .package(url: "https://github.com/christopherkarani/Wax.git", from: "0.1.8")
]

MCP Server Installation (Claude Code)

npx -y waxmcp@latest mcp install --scope user

Claude Desktop Configuration

Add the following to your Claude Desktop configuration file:

{
  "mcpServers": {
    "wax": {
      "command": "wax-mcp",
      "args": []
    }
  }
}

ultimate_mcp_server · Install

Installation

Clone the repository:

git clone https://github.com/Dicklesworthstone/ultimate_mcp_server.git
cd ultimate_mcp_server

Install dependencies:

pip install -e .

For Claude Desktop integration, add to your claude_desktop_config.json:

{
  "mcpServers": {
    "ultimate-mcp": {
      "command": "python",
      "args": ["-m", "ultimate_mcp_server"],
      "env": {
        "PYTHONPATH": "."
      }
    }
  }
}

Run the server:

python -m ultimate_mcp_server

Comparison generated from public README + GitHub signals. Last updated automatically.