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httprunner vs linkedin-mcp-server

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

httprunner
by httprunner
linkedin-mcp-server
by stickerdaniel
Stars★ 4,277★ 1,900
30d uses
Score5556
Official
Categories
Browser AutomationDeveloper Toolstesting
Web ScrapingBrowser AutomationCommunication
LanguageGoPython
Last commit5 mo agothis month

httprunner · Summary

HttpRunner is an all-in-one testing framework that includes MCP server functionality for UI automation.

linkedin-mcp-server · Summary

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

httprunner · Use cases

  • Automated UI testing for mobile applications on Android and iOS
  • Cross-platform browser automation with visual recognition
  • API testing integration with UI automation in a single framework

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

httprunner · Install

Installation

  1. Install HttpRunner v5:
go install github.com/httprunner/httprunner@latest
  1. Start the MCP server:
hrp mcp-server
  1. For Claude Desktop configuration, add to claude_desktop_config.json:
{
  "mcpServers": {
    "httprunner": {
      "command": "hrp",
      "args": ["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.