linkedin-mcp-server
This project is a Model Context Protocol server that provides interaction capabilities with LinkedIn, allowing users to scrape profiles, analyze companies, and perform job searches while securing user credentials.
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.
https://github.com/user-attachments/assets/eb84419a-6eaf-47bd-ac52-37bc59c83680
📋 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
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"
uv pip install -e .
pre-commit install
Step 4: Install ChromeDriver
ChromeDriver is required for Selenium to interact with Chrome. You need to install the version that matches your Chrome browser.
-
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)
-
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
-
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
- Option 1: Place it in a directory that's in your PATH (e.g.,
🚀 Running the Server
- Start the server once manually:
# Using uv (recommended)
uv run main.py --no-lazy-init --no-headless
-
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
- Alternatively, you can run the server once manually and you'll be prompted for credentials, which will then be stored securely in your system's keychain (macOS Keychain, Windows Credential Locker, etc.)
-
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" } } } }
⚙️ Configuration System
Configuration Hierarchy
Configuration values are loaded with the following precedence (highest to lowest):
-
Command-line arguments:
uv run main.py --no-headless --debug
-
Environment variables:
export LINKEDIN_EMAIL=your.email@example.com export LINKEDIN_PASSWORD=your_password export CHROMEDRIVER=/path/to/chromedriver
Note: Environment variables always override credentials stored in the system keychain
-
System keychain: Securely stored credentials from previous sessions
-
Default values: Built-in fallback values
Command-line Options
Option | Description |
---|---|
--no-headless | Run Chrome with a visible browser window |
--debug | Enable debug mode with additional logging |
--no-setup | Skip configuration setup prompts |
--no-lazy-init | Initialize Chrome driver immediately (instead of on first use) |
Credential Storage
Your LinkedIn credentials are stored securely using your system's native keychain/credential manager:
- macOS: macOS Keychain
- Windows: Windows Credential Locker
- Linux: Native keyring (varies by distribution)
Credentials are managed as follows:
- First, the application checks for credentials in environment variables
- Next, it checks the system keychain for stored credentials
- If no credentials are found, you'll be prompted to enter them (in interactive mode)
- Entered credentials are securely stored in your system keychain for future use
Clearing Stored Credentials
If you need to change your stored credentials, run the application with the --no-lazy-init
flag and when prompted about login failure, select "Yes" to try with different credentials.
ChromeDriver Configuration
The ChromeDriver path is found in this order:
- From the
CHROMEDRIVER
environment variable - Auto-detected from common locations
- Manually specified when prompted (if auto-detection fails)
Once specified, the ChromeDriver path is used for the current session but not stored persistently.
🔄 Using with Claude Desktop
- After adding the configuration to Claude Desktop, restart the application
- Start a conversation with Claude
- You'll see tools available in the tools menu (settings icon)
- 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 are securely stored in your system's native keychain/credential manager 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:
- Ensure your Chrome browser is updated
- Download the matching ChromeDriver version
- Set the CHROMEDRIVER path correctly
- Try running with administrator/sudo privileges if permission issues occur
Authentication Issues
If login fails:
- Verify your LinkedIn credentials
- Check if your account has two-factor authentication enabled
- Try logging in manually to LinkedIn first, then run the server
- Check your LinkedIn mobile app for a login request after running the server
- Try to run the server with
--no-headless
to see where the login fails - Try to run the server with
--debug
to see more detailed logs
Connection Issues
If Claude cannot connect to the server:
- Ensure the server is running when you start it manually
- Verify the configuration in Claude Desktop is correct
- 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
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.