linkedin-mcpserver

Overview

The LinkedIn MCP Server provides a comprehensive interface to LinkedIn's API through the Model Context Protocol. It enables AI assistants to interact with LinkedIn data, perform advanced profile searches, retrieve detailed profile information, discover job opportunities, and even send messages to connections. Built with TypeScript using modern practices including dependency injection with TSyringe and structured logging with Pino.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• profile_search

  Find LinkedIn profiles with advanced filters

  Try:Find marketing managers in San FranciscoTry:Search for software engineers at Google
• profile_retrieval

  Get detailed information about LinkedIn profiles

  Try:Get profile information for John DoeTry:Retrieve details of connection Sarah Smith
• job_search

  Discover job opportunities with customized criteria

  Try:Find remote software developer jobsTry:Search for product manager positions in New York
• messaging

  Send messages to LinkedIn connections

  Try:Send a message to my connection Alex JohnsonTry:Follow up with a connection about a job opportunity
• network_stats

  Access connection statistics and analytics

  Try:Show my network growth this monthTry:Get statistics on my industry connections

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Installation

# Install dependencies
npm install

# Run the development server
npm run start:dev

# Build the server
npm run build

{
  "mcpServers": {
    "linkedin-mcp-server": {
      "command": "/path/to/linkedin-mcp-server/build/index.js"
    }
  }
}

FAQ

What LinkedIn API features are supported?

The server supports profile search, profile retrieval, job search, messaging, and network statistics through LinkedIn's API.

How is authentication handled?

The server uses OAuth with automatic token management, but users need to review the token management system for security requirements.

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