fetch vs linkedin-mcp-server

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

	fetch by modelcontextprotocol	linkedin-mcp-server by stickerdaniel
Stars	★ 85,748	★ 1,900
30d uses	—	—
Score	76	56
Official	✓	—
Categories	Web ScrapingAI / LLM ToolsProductivity	Web ScrapingBrowser AutomationCommunication
Language	TypeScript	Python
Last commit	this month	this month

fetch · Summary

An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.

linkedin-mcp-server · Summary

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

fetch · Use cases

LLMs reading news articles and blogs
Content analysis of web pages
Retrieving information from public websites
Chunked reading of large web documents

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

fetch · Install

Installation

**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:

uvx mcp-server-fetch

**Using PIP** Install via pip:

pip install mcp-server-fetch

Then run as:

python -m mcp_server_fetch

Claude Desktop Configuration

{
  "mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": ["mcp-server-fetch"]
    }
  }
}

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

Download the latest .mcpb artifact from [releases](https://github.com/stickerdaniel/linkedin-mcp-server/releases/latest)
Click the downloaded file to install it into Claude Desktop

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