LinkedIn MCP server

This MCP server provides LinkedIn automation and data extraction capabilities through browser automation. It allows you to interact with LinkedIn programmatically while respecting the platform's terms of service and rate limits, with features for authentication, profile operations, and post interactions.

Prerequisites

• Python 3.8+
• Playwright
• FastMCP library
• LinkedIn account

Installation

Clone the Repository

git clone [repository-url]
cd mcp-linkedin-server

Set Up Python Environment

Create and activate a virtual environment:

python -m venv env
source env/bin/activate  # On Windows: env\Scripts\activate

Install Dependencies

Install the required packages and browser:

pip install -r requirements.txt
playwright install chromium

Configure Environment Variables

Create a .env file in the root directory with your LinkedIn credentials:

[email protected]
LINKEDIN_PASSWORD=your_password
COOKIE_ENCRYPTION_KEY=your_encryption_key  # Optional: will be auto-generated if not provided

Usage

Starting the Server

Start the MCP server with:

python linkedin_browser_mcp.py

Available Tools

The server provides several tools for LinkedIn automation:

• login_linkedin_secure: Securely log in using environment credentials
• browse_linkedin_feed: Browse and extract posts from feed
• search_linkedin_profiles: Search for profiles matching criteria
• view_linkedin_profile: View and extract data from specific profiles
• interact_with_linkedin_post: Like, comment, or read posts

Client Example

Here's how to use the server with a Python client:

from fastmcp import FastMCP

# Initialize client
client = FastMCP.connect("http://localhost:8000")

# Login
result = await client.login_linkedin_secure()
print(result)

# Search profiles
profiles = await client.search_linkedin_profiles(
    query="software engineer",
    count=5
)
print(profiles)

# View profile
profile_data = await client.view_linkedin_profile(
    profile_url="https://www.linkedin.com/in/username"
)
print(profile_data)

Security Features

The server implements several security measures:

• Encrypted cookie storage
• Rate limiting protection
• Secure credential management
• Session persistence
• Browser automation security measures

Best Practices

Rate Limiting

The server implements rate limiting to prevent excessive requests:

• Maximum 5 login attempts per hour
• Automatic session reuse
• Cookie persistence to minimize login needs

Error Handling

Comprehensive error handling for:

• Network issues
• Authentication failures
• LinkedIn security challenges
• Invalid URLs or parameters

Session Management

• Automatic cookie encryption
• Session persistence
• Secure storage practices

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "linkedin" '{"command":"python","args":["linkedin_browser_mcp.py"]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "linkedin": {
            "command": "python",
            "args": [
                "linkedin_browser_mcp.py"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "linkedin": {
            "command": "python",
            "args": [
                "linkedin_browser_mcp.py"
            ]
        }
    }
}

3. Restart Claude Desktop for the changes to take effect