Linkedin Scrap MCP Server

🚀 LinkedIn-Scrap-MCP-Server

Easily obtain real-time LinkedIn profile information using our MCP (Model Context Protocol) server. This server integrates the Fresh LinkedIn Profile Data API and returns detailed profile information including skills and other basic settings. It offers a single tool get_profile, which accepts a LinkedIn profile URL and responds in a structured JSON format.

🚀 Quick Start

This MCP server enables you to quickly access real - time LinkedIn profile data. With just a simple call to the get_profile tool, you can retrieve structured JSON data of the LinkedIn profile.

✨ Features

• Real - time LinkedIn Data: Retrieve the latest profile information, including skills and core public data (extended fields are disabled by default).
• Asynchronous Requests: Built with httpx to achieve efficient, non - blocking HTTP calls.
• Secure API Key Handling: Securely configure your RAPIDAPI_KEY through environment variables using dotenv.

📦 Installation

1. Clone the repository:

git clone https://github.com/itsShashankSrivastava/Linkedin-Scrap-MCP-Server

2. Install dependencies:

uv add mcp[cli] httpx requests

3. Set environment variables:

RAPIDAPI_KEY=your_rapidapi_key_here

💻 Usage Examples

Basic Usage

To start the MCP server:

uv run linkedin.py

This will start the server and begin listening for incoming requests through standard input/output.

Advanced Usage

To connect your MCP client to the server, make the following updates in config.json:

{
  "mcpServers": {
    "linkedin_profile_scraper": {
      "command": "C:/Users/shashank.srivastava/.local/bin/uv", 
      "args": [
        "--directory",
        "C:/Users/shashank.srivastava/Desktop/linkedin-scrap",  
        "run",
        "linkedin.py" 
      ]
    }
  }
}

💡 Usage Tip

Adjust the paths according to the actual location of the server.

🔧 Technical Details

• Environment Setup: Load your RAPIDAPI_KEY using dotenv.
• API Integration: Use httpx to make asynchronous GET requests to the Fresh LinkedIn Profile Data API.
• MCP Tool - get_profile: Encapsulate the API logic and return a clean JSON object or an error message (if the request fails).
• Execution: Run using the standard input/output (stdio) transport method of the MCP server framework.

🛠 Troubleshooting

• Missing RAPIDAPI_KEY: If not set, the server will throw a ValueError. Check the .env file or system environment variables.
• API Call Errors: If the LinkedIn API request fails, the tool will return a clear error message indicating the problem.

If you find this helpful, please star the repository ✨, or open an issue when you need support!