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ultimate_mcp_server vs linkedin-mcp-server

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

ultimate_mcp_server
by Dicklesworthstone
linkedin-mcp-server
by stickerdaniel
Stars★ 149★ 1,900
30d uses
Score8556
Official
Categories
AI / LLM ToolsBrowser AutomationFile System
Web ScrapingBrowser AutomationCommunication
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.

linkedin-mcp-server · Summary

MCP server providing LinkedIn API access through browser automation for profiles, companies, jobs, and messaging.

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

linkedin-mcp-server · Use cases

  • Automate LinkedIn profile research for recruiting or competitive intelligence
  • Streamline job application processes by automating LinkedIn job searches
  • Manage professional communications by automating LinkedIn messaging

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

linkedin-mcp-server · Install

Installation

uvx Setup (Recommended)

**Prerequisites:** Install [uv](https://docs.astral.sh/uv/getting-started/installation/).

**Client Configuration:**

{
  "mcpServers": {
    "linkedin": {
      "command": "uvx",
      "args": ["linkedin-scraper-mcp@latest"],
      "env": { "UV_HTTP_TIMEOUT": "300" }
    }
  }
}

Claude Desktop MCP Bundle

  1. Download the latest .mcpb artifact from [releases](https://github.com/stickerdaniel/linkedin-mcp-server/releases/latest)
  2. Click the downloaded file to install it into Claude Desktop
Comparison generated from public README + GitHub signals. Last updated automatically.