stickerdaniel/linkedin-mcp-server

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

What it solves

This project provides an interface for AI agents to interact with LinkedIn, allowing them to perform tasks like reading profiles, researching companies, searching for jobs, and managing messages or connection requests directly through your own browser session.

How it works

It acts as a Model Context Protocol (MCP) server that runs a local, shared Chromium browser instance. When an AI agent needs to perform an action, the server uses this browser to navigate LinkedIn. It can either reuse an existing session from your local web browser (like Chrome, Brave, or Edge) or open a dedicated login window to authenticate. The server handles the technical details of page navigation and data extraction, exposing these capabilities as a set of tools that your AI assistant can call.

Who it’s for

This tool is designed for developers and power users who want to integrate LinkedIn functionality into their AI-powered workflows, such as research assistants or automated networking tools, while maintaining control over their own LinkedIn session.

Highlights

  • Broad Capability: Supports reading profiles, searching jobs, managing inbox conversations, and viewing company feeds.
  • Flexible Authentication: Can import active sessions from your existing browsers or perform a manual login.
  • Easy Integration: Compatible with standard MCP clients and supports multiple transport modes like stdio and HTTP.
  • Session Management: Includes built-in tools to handle timeouts, browser idle management, and concurrent access across multiple clients.

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