LinkedIn MCP Server

This is a Model Context Protocol (MCP) server that acts as a bridge to fetch detailed LinkedIn profile data (Experience, Education, About sections) which are typically hidden from the public/lite API.

It uses a Puppeteer wrapper to automate a browser session with your LinkedIn cookie, ensuring it can access the full profile view that you see when logged in.

Features

• read_linkedin_profile: A tool that takes a LinkedIn profile URL and returns the scraped text content of the profile.

Related MCP server: LinkedIn MCP Server

Prerequisities

• Node.js (v18+)

• A LinkedIn account

• Your LinkedIn li_at cookie

Setup

1. Install Dependencies

npm install

2. Configure Environment (Authentication)

This server needs your LinkedIn li_at cookie to view full profiles.

Method A: Automatic (Recommended)

We have included a helper tool to log you in and save the cookie automatically.

1. Run the auth script:

   npm run auth

2. A browser window will open. Log in to LinkedIn.

3. Once you reach the feed, the script will detect the cookie, save it to .env, and close the window automatically.

Method B: Manual

1. Create a .env file in the root directory.

2. Open LinkedIn in your browser (Chrome/Edge).

3. Open Developer Tools (F12 or Right Click -> Inspect).

4. Go to the Application tab.

5. Under Storage -> Cookies -> https://www.linkedin.com, find the cookie named li_at.

6. Copy its value and paste it into .env:

   LINKEDIN_LI_AT_COOKIE="your_cookie_value_here"

3. Build the Server

npm run build
# OR
npx tsc

(Note: npm run build is not currently defined in package.json, so use npx tsc or add the script.)

Usage with Antigravity / Claude Desktop

Add the server to your MCP configuration file (e.g., claude_desktop_config.json):

{
  "mcpServers": {
    "linkedin-reference": {
      "command": "node",
      "args": ["/absolute/path/to/linkedin-mcp-server/dist/index.js"],
      "env": {
        "LINKEDIN_LI_AT_COOKIE": "your_cookie_value_if_not_using_dotenv"
      }
    }
  }
}

How It Works

1. The MCP client sends a read_linkedin_profile request with a URL.

2. The server launches a headless Puppeteer browser.

3. It injects the li_at cookie to authenticate as you.

4. It navigates to the profile URL.

5. It extracts the innerText of the page body (simple approach).

6. It returns the text to the LLM for processing.

Project Structure

• src/index.ts: Main server entry point and tool logic.

• scripts/validate_mcp.mjs: A validation script to test if the server boots up correctly.

• dist/: Compiled JavaScript files.