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ultimate_mcp_server vs scholar-search-mcp

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

ultimate_mcp_server
by Dicklesworthstone
scholar-search-mcp
by Silung
Stars★ 149★ 180
30d uses
Score8550
Official
Categories
AI / LLM ToolsBrowser AutomationFile System
AI / LLM ToolsDeveloper ToolsKnowledge Graph
LanguagePythonPython
Last commit2 mo agothis month

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.

scholar-search-mcp · Summary

MCP server for academic paper search integrating Semantic Scholar and arXiv with practical research tools.

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

scholar-search-mcp · Use cases

  • Assisting researchers in survey paper writing with comprehensive literature search
  • Enabling AI assistants to retrieve academic paper metadata and citations
  • Supporting academic workflows by providing unified access to multiple scholarly databases

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

scholar-search-mcp · Install

Installation

pip install scholar-search-mcp

Quick Setup (Claude Desktop / Cursor)

Add this configuration to your MCP settings:

{
  "mcpServers": {
    "scholar-search": {
      "command": "python",
      "args": ["-m", "scholar_search_mcp"],
      "env": {
        "SCHOLAR_SEARCH_ENABLE_SEMANTIC_SCHOLAR": "true",
        "SCHOLAR_SEARCH_ENABLE_ARXIV": "true"
      }
    }
  }
}

For higher rate limits, add your Semantic Scholar API key:

{
  "mcpServers": {
    "scholar-search": {
      "command": "python",
      "args": ["-m", "scholar_search_mcp"],
      "env": {
        "SCHOLAR_SEARCH_ENABLE_SEMANTIC_SCHOLAR": "true",
        "SCHOLAR_SEARCH_ENABLE_ARXIV": "true",
        "SEMANTIC_SCHOLAR_API_KEY": "your-key"
      }
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.