LinkedIn MCP Server

@stickerdaniel

Basic information

About LinkedIn MCP Server

Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.

LinkedIn MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "linkedin-mcp-server": {
      "command": "uvx",
      "args": [
        "mcp-server-linkedin@latest",
        "--import-from-browser"
      ]
    }
  }
}

LinkedIn MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is LinkedIn MCP Server?

An MCP server that enables AI assistants like Claude to read LinkedIn data through your own logged-in browser session. It allows access to profiles, companies, job searches, and messaging. This is an independent community project not affiliated with LinkedIn.

How to use LinkedIn MCP Server?

Install uv, then configure your MCP client with the command uvx mcp-server-linkedin@latest and set the environment variable UV_HTTP_TIMEOUT to 300. On the first tool call, a browser window opens for LinkedIn login. Alternatively, use the --login flag to set up a persistent session or --import-from-browser to reuse an existing browser session. Command-line options allow customising browser visibility, timeouts, transport, and profile location.

Key features of LinkedIn MCP Server

Read profiles with section selection (experience, education, skills, etc.)
Search for people, companies, and jobs with filters
Send connection requests and messages
View company profiles, posts, and employees
Access messaging inbox and conversations
Search conversations by keyword
Get your own profile and feed posts
Import session from common browsers (Chrome, Brave, Edge, etc.)

Use cases of LinkedIn MCP Server

Automate LinkedIn profile research during recruiting or sales prospecting.
Monitor job listings matching specific criteria via AI assistant.
Gather company intelligence (posts, employees, profiles) for market analysis.
Manage LinkedIn networking (connection requests, messages) programmatically.
Analyze your own feed or inbox through AI queries.

Frequently asked questions

What dependencies are required?

Python and uv are needed. The server uses Patchright Chromium (downloaded automatically) and requires a network connection to LinkedIn.

How does authentication work?

Authentication is handled via your own browser session. The server opens a browser for you to log in to LinkedIn on the first tool call, or you can pre-configure login with `--login` or import cookies from an existing browser session using `--import-from-browser`.

Where does my data live?

All data is retrieved from LinkedIn through your session and processed locally. No data is stored externally by the server; session cookies are saved locally in `~/.linkedin-mcp/profile/`.

What transport modes are supported?

The default transport is stdio. Streamable HTTP is also available for web-based MCP servers. You can set transport via `--transport` option or through environment variables.

Are there any known limitations?

LinkedIn's page structure changes frequently

Comments

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