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This MCP server allows Claude and other AI assistants to access your LinkedIn. Scrape LinkedIn profiles, companies and jobs, and perform job searches.

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LinkedIn MCP Server

PyPI CI Status Release License

Through this LinkedIn MCP server, AI assistants like Claude can connect to your LinkedIn. Access profiles and companies, search for jobs, or get job details.

Installation Methods

uvx Docker Install DXT Extension Development

Example.Use.mp4

Usage Examples

Research the background of this candidate https://www.linkedin.com/in/stickerdaniel/
Get this company profile for partnership discussions https://www.linkedin.com/company/inframs/
Suggest improvements for my CV to target this job posting https://www.linkedin.com/jobs/view/4252026496
What has Anthropic been posting about recently? https://www.linkedin.com/company/anthropic/

Features & Tool Status

Tool Description Status
get_person_profile Get detailed profile info including work history, education, contacts, interests Working
get_company_profile Extract company information including employees, affiliated companies Working
get_company_posts Get recent posts from a company's LinkedIn feed Working
search_jobs Search for jobs with keywords and location filters Working
get_job_details Get detailed information about a specific job posting Working
close_session Close browser session and clean up resources Working

Warning

The session file at ~/.linkedin-mcp/session.json contains sensitive authentication data. Keep it secure and do not share it.



πŸš€ uvx Setup (Recommended - Universal)

Prerequisites: Make sure you have uv and Playwright uvx playwright install chromium installed.

Installation

Step 1: Create a session (first time only)

uvx linkedin-scraper-mcp --get-session

This opens a browser for you to log in manually (5 minute timeout for 2FA, captcha, etc.). The session is saved to ~/.linkedin-mcp/session.json.

Step 2: Run the server

uvx linkedin-scraper-mcp

Note

Sessions may expire over time. If you encounter authentication issues, run uvx linkedin-scraper-mcp --get-session again.

uvx Setup Help

πŸ”§ Configuration

Client Configuration:

{
  "mcpServers": {
    "linkedin": {
      "command": "uvx",
      "args": ["linkedin-scraper-mcp"]
    }
  }
}

Transport Modes:

  • Default (stdio): Standard communication for local MCP servers
  • Streamable HTTP: For web-based MCP server

CLI Options:

  • --get-session [PATH] - Open browser to log in and save session (default: ~/.linkedin-mcp/session.json)
  • --no-headless - Show browser window (useful for debugging scraping issues)
  • --log-level {DEBUG,INFO,WARNING,ERROR} - Set logging level (default: WARNING)
  • --transport {stdio,streamable-http} - Set transport mode
  • --host HOST - HTTP server host (default: 127.0.0.1)
  • --port PORT - HTTP server port (default: 8000)
  • --path PATH - HTTP server path (default: /mcp)
  • --clear-session - Clear stored LinkedIn session file
  • --timeout MS - Browser timeout for page operations in milliseconds (default: 5000)
  • --chrome-path PATH - Path to Chrome/Chromium executable (for custom browser installations)

Basic Usage Examples:

# Create a session interactively
uvx linkedin-scraper-mcp --get-session

# Run with debug logging
uvx linkedin-scraper-mcp --log-level DEBUG

HTTP Mode Example (for web-based MCP clients):

uvx linkedin-scraper-mcp --transport streamable-http --host 127.0.0.1 --port 8080 --path /mcp

Test with mcp inspector:

  1. Install and run mcp inspector bunx @modelcontextprotocol/inspector
  2. Click pre-filled token url to open the inspector in your browser
  3. Select Streamable HTTP as Transport Type
  4. Set URL to http://localhost:8080/mcp
  5. Connect
  6. Test tools
❗ Troubleshooting

Installation issues:

  • Ensure you have uv installed: curl -LsSf https://astral.sh/uv/install.sh | sh
  • Check uv version: uv --version (should be 0.4.0 or higher)

Session issues:

  • Session is stored at ~/.linkedin-mcp/session.json
  • Make sure you have only one active LinkedIn session at a time

Login issues:

  • LinkedIn may require a login confirmation in the LinkedIn mobile app for --get-session
  • You might get a captcha challenge if you logged in frequently. Run uvx linkedin-scraper-mcp --get-session which opens a browser where you can solve it manually.

Timeout issues:

  • If pages fail to load or elements aren't found, try increasing the timeout: --timeout 10000
  • Users on slow connections may need higher values (e.g., 15000-30000ms)
  • Can also set via environment variable: TIMEOUT=10000

Custom Chrome path:

  • If Chrome is installed in a non-standard location, use --chrome-path /path/to/chrome
  • Can also set via environment variable: CHROME_PATH=/path/to/chrome


🐳 Docker Setup

Prerequisites: Make sure you have Docker installed and running.

Authentication Options

Docker runs headless (no browser window), so you need to authenticate using one of these methods:

Option 1: Cookie Authentication (Simplest)

Get your LinkedIn li_at cookie and pass it to Docker:

{
  "mcpServers": {
    "linkedin": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "-e", "LINKEDIN_COOKIE", "stickerdaniel/linkedin-mcp-server"],
      "env": {
        "LINKEDIN_COOKIE": "your_li_at_cookie_value"
      }
    }
  }
}

To get your li_at cookie:

  1. Open LinkedIn in your browser in an incognito tab and log in
  2. Open DevTools (F12) β†’ Application β†’ Cookies β†’ linkedin.com
  3. Copy the li_at cookie value

Option 2: Session File (More Reliable)

Create a session file locally, then mount it into Docker.

Step 1: Create session using uvx (one-time setup)

uvx linkedin-scraper-mcp --get-session

This opens a browser window where you log in manually (5 minute timeout for 2FA, captcha, etc.). The session is saved to ~/.linkedin-mcp/session.json.

Step 2: Configure Claude Desktop with Docker

{
  "mcpServers": {
    "linkedin": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-v", "~/.linkedin-mcp:/home/pwuser/.linkedin-mcp",
        "stickerdaniel/linkedin-mcp-server:latest"
      ]
    }
  }
}

Note

Sessions may expire over time. If you encounter authentication issues, run uvx linkedin-scraper-mcp --get-session again locally, or use a fresh li_at cookie.

Note

Why can't I run --get-session in Docker? Docker containers don't have a display server. You have two options:

  1. Create a session on your host using the uvx setup and mount it into Docker
  2. Pass your li_at cookie via LINKEDIN_COOKIE (if you encounter auth challenges, use option 1 instead)

Docker Setup Help

πŸ”§ Configuration

Transport Modes:

  • Default (stdio): Standard communication for local MCP servers
  • Streamable HTTP: For a web-based MCP server

CLI Options:

  • --log-level {DEBUG,INFO,WARNING,ERROR} - Set logging level (default: WARNING)
  • --transport {stdio,streamable-http} - Set transport mode
  • --host HOST - HTTP server host (default: 127.0.0.1)
  • --port PORT - HTTP server port (default: 8000)
  • --path PATH - HTTP server path (default: /mcp)
  • --clear-session - Clear stored LinkedIn session file
  • --timeout MS - Browser timeout for page operations in milliseconds (default: 5000)
  • --chrome-path PATH - Path to Chrome/Chromium executable (rarely needed in Docker)

[!NOTE] --get-session and --no-headless are not available in Docker (no display server). Use the uvx setup to create sessions.

HTTP Mode Example (for web-based MCP clients):

docker run -it --rm \
  -v ~/.linkedin-mcp:/home/pwuser/.linkedin-mcp \
  -p 8080:8080 \
  stickerdaniel/linkedin-mcp-server:latest \
  --transport streamable-http --host 0.0.0.0 --port 8080 --path /mcp

Test with mcp inspector:

  1. Install and run mcp inspector bunx @modelcontextprotocol/inspector
  2. Click pre-filled token url to open the inspector in your browser
  3. Select Streamable HTTP as Transport Type
  4. Set URL to http://localhost:8080/mcp
  5. Connect
  6. Test tools
❗ Troubleshooting

Docker issues:

  • Make sure Docker is installed
  • Check if Docker is running: docker ps

Login issues:

  • Make sure you have only one active LinkedIn session at a time
  • LinkedIn may require a login confirmation in the LinkedIn mobile app for --get-session
  • You might get a captcha challenge if you logged in frequently. Run uvx linkedin-scraper-mcp --get-session which opens a browser where you can solve captchas manually. See the uvx setup for prerequisites.

Timeout issues:

  • If pages fail to load or elements aren't found, try increasing the timeout: --timeout 10000
  • Users on slow connections may need higher values (e.g., 15000-30000ms)
  • Can also set via environment variable: TIMEOUT=10000

Custom Chrome path:

  • If Chrome is installed in a non-standard location, use --chrome-path /path/to/chrome
  • Can also set via environment variable: CHROME_PATH=/path/to/chrome


πŸ“¦ Claude Desktop (DXT Extension)

Prerequisites: Claude Desktop and Docker installed & running

One-click installation for Claude Desktop users:

  1. Download the DXT extension
  2. Double-click to install into Claude Desktop
  3. Create a session: uvx linkedin-scraper-mcp --get-session

Note

Sessions may expire over time. If you encounter authentication issues, run uvx linkedin-scraper-mcp --get-session again.

DXT Extension Setup Help

❗ Troubleshooting

First-time setup timeout:

  • Claude Desktop has a ~60 second connection timeout
  • If the Docker image isn't cached, the pull may exceed this timeout
  • Fix: Pre-pull the image before first use:
    docker pull stickerdaniel/linkedin-mcp-server:2.3.0
  • Then restart Claude Desktop

Docker issues:

  • Make sure Docker is installed
  • Check if Docker is running: docker ps

Login issues:

  • Make sure you have only one active LinkedIn session at a time
  • LinkedIn may require a login confirmation in the LinkedIn mobile app for --get-session
  • You might get a captcha challenge if you logged in frequently. Run uvx linkedin-scraper-mcp --get-session which opens a browser where you can solve captchas manually. See the uvx setup for prerequisites.

Timeout issues:

  • If pages fail to load or elements aren't found, try increasing the timeout: --timeout 10000
  • Users on slow connections may need higher values (e.g., 15000-30000ms)
  • Can also set via environment variable: TIMEOUT=10000


🐍 Local Setup (Develop & Contribute)

Prerequisites: Git and uv installed

Installation

# 1. Clone repository
git clone https://github.com/stickerdaniel/linkedin-mcp-server
cd linkedin-mcp-server

# 2. Install UV package manager (if not already installed)
curl -LsSf https://astral.sh/uv/install.sh | sh

# 3. Install dependencies
uv sync
uv sync --group dev

# 4. Install Playwright browser
uv run playwright install chromium

# 5. Install pre-commit hooks
uv run pre-commit install

# 6. Create a session (first time only)
uv run -m linkedin_mcp_server --get-session

# 7. Start the server
uv run -m linkedin_mcp_server

Local Setup Help

πŸ”§ Configuration

CLI Options:

  • --get-session [PATH] - Open browser to log in and save session (default: ~/.linkedin-mcp/session.json)
  • --no-headless - Show browser window (useful for debugging scraping issues)
  • --log-level {DEBUG,INFO,WARNING,ERROR} - Set logging level (default: WARNING)
  • --transport {stdio,streamable-http} - Set transport mode
  • --host HOST - HTTP server host (default: 127.0.0.1)
  • --port PORT - HTTP server port (default: 8000)
  • --path PATH - HTTP server path (default: /mcp)
  • --clear-session - Clear stored LinkedIn session file
  • --timeout MS - Browser timeout for page operations in milliseconds (default: 5000)
  • --session-info - Check if current session is valid and exit
  • --linkedin-cookie COOKIE - LinkedIn session cookie (li_at) for authentication
  • --slow-mo MS - Delay between browser actions in milliseconds (default: 0, useful for debugging)
  • --user-agent STRING - Custom browser user agent
  • --viewport WxH - Browser viewport size (default: 1280x720)
  • --chrome-path PATH - Path to Chrome/Chromium executable (for custom browser installations)
  • --help - Show help

Note: Most CLI options have environment variable equivalents. See .env.example for details.

HTTP Mode Example (for web-based MCP clients):

uv run -m linkedin_mcp_server --transport streamable-http --host 127.0.0.1 --port 8000 --path /mcp

Claude Desktop:

{
  "mcpServers": {
    "linkedin": {
      "command": "uv",
      "args": ["--directory", "/path/to/linkedin-mcp-server", "run", "-m", "linkedin_mcp_server"]
    }
  }
}
❗ Troubleshooting

Login issues:

  • Make sure you have only one active LinkedIn session at a time
  • LinkedIn may require a login confirmation in the LinkedIn mobile app for --get-session
  • You might get a captcha challenge if you logged in frequently. The --get-session command opens a browser where you can solve it manually.

Scraping issues:

  • Use --no-headless to see browser actions and debug scraping problems
  • Add --log-level DEBUG to see more detailed logging

Session issues:

  • Session is stored in ~/.linkedin-mcp/session.json
  • Use --clear-session to clear the session and start fresh

Python/Playwright issues:

  • Check Python version: python --version (should be 3.12+)
  • Reinstall Playwright: uv run playwright install chromium
  • Reinstall dependencies: uv sync --reinstall

Timeout issues:

  • If pages fail to load or elements aren't found, try increasing the timeout: --timeout 10000
  • Users on slow connections may need higher values (e.g., 15000-30000ms)
  • Can also set via environment variable: TIMEOUT=10000

Custom Chrome path:

  • If Chrome is installed in a non-standard location, use --chrome-path /path/to/chrome
  • Can also set via environment variable: CHROME_PATH=/path/to/chrome

Feel free to open an issue or PR!



Acknowledgements

Built with LinkedIn Scraper by @joeyism and FastMCP.

⚠️ Use in accordance with LinkedIn's Terms of Service. Web scraping may violate LinkedIn's terms. This tool is for personal use only.

License

This project is licensed under the Apache 2.0 license.


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This MCP server allows Claude and other AI assistants to access your LinkedIn. Scrape LinkedIn profiles, companies and jobs, and perform job searches.

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