# 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:
```powershell
# 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"
    }
  }
}
```