LinkedIn MCP
MCP server that enables LinkedIn profile scraping and search using Selenium-based scraper with support for multiple LinkedIn accounts.
README
LinkedIn MCP
This is a simple implementation of an MCP LinkedIn server using a Selenium and Chromedriver based scraper in the background.
At the moment it only support profile scraping and profile search.
Pre-requisites
Please install uv.
Create a virtual environment and sync the libraries.
uv venv
uv sync
Then install Chromedriver: https://developer.chrome.com/docs/chromedriver/get-started
The whole parsing of the LinkedIn webpage is based on Chromedriver.
Environment
Make sure you have all of these variables in your .env file:
LINKEDIN_USER_1=<user>
LINKEDIN_PASSWORD_1=<pass>
LINKEDIN_USER_2=<user>
LINKEDIN_PASSWORD_2=<pass>
COOKIE_DIR=/var/linkedin/cookies
MCP_HOST=0.0.0.0
MCP_PORT=8050
# Either sse or stdio or streamable-http
MCP_TRANSPORT=streamable-http
MCP_TIMEOUT=150
You can use multiple LinkedIn username and password combinations.
Run in dev mode with MCP Inspector
mcp dev ./src/linkedin_mcp/server/server.py
Run with stdio
python ./src/linkedin_mcp/client/client_stdio.py
Run the server
uv run ./src/linkedin_mcp/server/server.py
Note: If you're experiencing issues with code changes not being picked up, clear the Python cache first:
# Windows PowerShell
.\clear_cache.ps1
# Or manually:
Get-ChildItem -Path . -Filter __pycache__ -Recurse -Directory | Remove-Item -Recurse -Force
Then restart the server. Alternatively, use Python's -B flag to skip bytecode generation:
uv run python -B ./src/linkedin_mcp/server/server.py
Integration with Gemini CLI
This is a modified .settings.json of the Gemini CLI with which you can use for connecting and using the MCP:
{
"general": {
"preferredEditor": "vscode"
},
"security": {
"auth": {
"selectedType": "gemini-api-key"
}
},
"ui": {
"theme": "Default"
},
"mcpServers": {
"linkedin-scraper": {
"httpUrl": "http://0.0.0.0:8050/mcp/",
"transport": "streamable-http"
}
}
}
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