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mcp-servers-kagi vs ultimate_mcp_server

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mcp-servers-kagi
by ac3xx
ultimate_mcp_server
by Dicklesworthstone
Stars★ 44★ 149
30d uses
Score3685
Official
Categories
SearchAI / LLM ToolsDeveloper Tools
AI / LLM ToolsBrowser AutomationFile System
LanguageTypeScriptPython
Last commit17 mo ago2 mo ago

mcp-servers-kagi · Summary

A TypeScript MCP server that integrates with Kagi's Search API to provide web search capabilities.

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.

mcp-servers-kagi · Use cases

  • Enable AI assistants to perform web searches using Kagi's API
  • Provide real-time information retrieval capabilities for AI models
  • Serve as a foundation for extending Kagi's functionality in AI workflows

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

mcp-servers-kagi · Install

Installation

Via Smithery

npx @smithery/cli install kagi-server --client claude

Manual Installation

  1. Install dependencies:

``bash npm install ``

  1. Build the server:

``bash npm run build ``

  1. Add to Claude Desktop configuration:
{
  "mcpServers": {
    "kagi-server": {
      "command": "/path/to/kagi-server/build/index.js",
      "env": {
        "KAGI_API_KEY": "your_api_key_here"
      }
    }
  }
}

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