LinkedIn MCP Server

A Model Context Protocol (MCP) server that enables interaction with LinkedIn through Claude and other AI assistants. This server allows you to scrape LinkedIn profiles, companies, jobs, and perform job searches.

📋 Features

• Profile Scraping: Get detailed information from LinkedIn profiles
• Company Analysis: Extract company information, including employees if desired
• Job Search: Search for jobs and get recommended positions

🔧 Installation

Installing via Smithery

To install LinkedIn MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @stickerdaniel/linkedin-mcp-server --client claude

Prerequisites

• Python 3.8 or higher
• Chrome browser installed
• ChromeDriver matching your Chrome version
• A LinkedIn account

Step 1: Clone or Download the Repository

git clone https://github.com/stickerdaniel/linkedin-mcp-server
cd linkedin-mcp-server

Or download and extract the zip file.

Step 2: Set Up a Virtual Environment

Using uv (recommended):

# Install uv if you don't have it
curl -LsSf https://astral.sh/uv/install.sh | sh

# Create and activate virtual environment
uv venv
source .venv/bin/activate  # On macOS/Linux
# OR
.venv\Scripts\activate     # On Windows

Step 3: Install Dependencies

Using uv:

uv add "mcp[cli]" selenium httpx inquirer pyperclip
uv add "git+https://github.com/stickerdaniel/linkedin_scraper.git"

Step 4: Install ChromeDriver

ChromeDriver is required for Selenium to interact with Chrome. You need to install the version that matches your Chrome browser.

1. Check your Chrome version:

   • Open Chrome and go to the menu (three dots) > Help > About Google Chrome
   • Note the version number (e.g., 123.0.6312.87)

2. Download matching ChromeDriver:

   • Go to ChromeDriver Downloads / Chrome for Testing (Chrome-Version 115+)
   • Download the version that matches your Chrome version
   • Extract the downloaded file

3. Make ChromeDriver accessible:

   • Option 1: Place it in a directory that's in your PATH (e.g., /usr/local/bin on macOS/Linux)
   • Option 2: Set the CHROMEDRIVER environment variable to the path where you placed it:

     export CHROMEDRIVER=/path/to/chromedriver  # macOS/Linux
     # OR
     set CHROMEDRIVER=C:\path\to\chromedriver.exe  # Windows
     

   • Option 3: The server will attempt to auto-detect or prompt you for the path when run

🚀 Running the Server

1. Start the server once manually:

# Using uv (recommended)
uv run main.py --no-lazy-init --no-headless

2. Lazy initialization (default behavior):

   • The server uses lazy initialization, meaning it will only create the Chrome driver and log in when a tool is actually used
   • You can set environment variables for non-interactive use:

     export LINKEDIN_EMAIL=your.email@example.com
     export LINKEDIN_PASSWORD=your_password
     

3. Configure Claude Desktop:

   • The server will display and copy to your clipboard the configuration needed for Claude Desktop
   • Open Claude Desktop and go to Settings > Developer > Edit Config
   • Paste the configuration provided by the server
   • Edit the configuration to include your LinkedIn credentials as environment variables

Example Claude Desktop configuration:

{
  "mcpServers": {
    "linkedin-scraper": {
      "command": "/path/to/uv",
      "args": ["--directory", "/path/to/project", "run", "main.py", "--no-setup"],
      "env": {
        "LINKEDIN_EMAIL": "your.email@example.com",
        "LINKEDIN_PASSWORD": "your_password"
      }
    }
  }
}

🔄 Using with Claude Desktop

1. After adding the configuration to Claude Desktop, restart the application
2. Start a conversation with Claude
3. You'll see tools available in the tools menu (hammer icon)
4. You can now ask Claude to retrieve LinkedIn profiles, search for jobs, etc.

Examples of what you can ask Claude:

• "Can you tell me about Daniels work experience? His LinkedIn profile is https://www.linkedin.com/in/stickerdaniel/"
• "Search for machine learning engineer jobs on LinkedIn"
• "Tell me about Google as a company based on their LinkedIn page"

🔐 Security and Privacy

• Your LinkedIn credentials can be provided through environment variables or stored locally at ~/.linkedin_mcp_credentials.json with user-only permissions
• Credentials are never exposed to Claude or any other AI and are only used for the LinkedIn login to scrape data
• The server runs on your local machine, not in the cloud
• All LinkedIn scraping happens through your account - be aware that profile visits are visible to other users

⚠️ Troubleshooting

ChromeDriver Issues

If you encounter ChromeDriver errors:

1. Ensure your Chrome browser is updated
2. Download the matching ChromeDriver version
3. Set the CHROMEDRIVER path correctly
4. Try running with administrator/sudo privileges if permission issues occur

Authentication Issues

If login fails:

1. Verify your LinkedIn credentials
2. Check if your account has two-factor authentication enabled
3. Try logging in manually to LinkedIn first, then run the server
4. Check your LinkedIn mobile app for a login request after running the server
5. Try to run the server with --no-headless to see where the login fails
6. Try to run the server with --debug to see more detailed logs

Connection Issues

If Claude cannot connect to the server:

1. Ensure the server is running when you start it manually
2. Verify the configuration in Claude Desktop is correct
3. Restart Claude Desktop

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

• Based on the LinkedIn Scraper by joeyism
• Uses the Model Context Protocol (MCP) for integration with AI assistants

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Note: This tool is for personal use only. Use responsibly and in accordance with LinkedIn's terms of service. Web scraping may violate LinkedIn's terms of service in some cases.