Integrations

Powers the REST client with automatic token management for LinkedIn API requests
Supported platform for running the LinkedIn MCP server with specific configuration paths
Requires Node.js 20+ as a runtime environment for the LinkedIn MCP server

🌐 LinkedIn MCP Server

A powerful Model Context Protocol server for LinkedIn API integration

📋 Overview

LinkedIn MCP Server brings the power of the LinkedIn API to your AI assistants through the Model Context Protocol (MCP). This TypeScript server empowers AI agents to interact with LinkedIn data, search profiles, find jobs, and even send messages.

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs - think of it as a USB-C port for AI applications, connecting models to external data sources and tools.

✨ Features

🔍 LinkedIn API Tools

Profile Search - Find LinkedIn profiles with advanced filters
Profile Retrieval - Get detailed information about LinkedIn profiles
Job Search - Discover job opportunities with customized criteria
Messaging - Send messages to LinkedIn connections
Network Stats - Access connection statistics and analytics

🛠️ Technical Highlights

TypeScript - Built with modern TypeScript for type safety and developer experience
Dependency Injection - Uses TSyringe for clean, testable architecture
Structured Logging - Comprehensive logging with Pino for better observability
MCP Integration - Implements the Model Context Protocol for seamless AI assistant connectivity
REST Client - Axios-powered API client with automatic token management

🚀 Development

Prerequisites

Node.js 20+
npm/yarn

Setup

# Install dependencies
npm install

# Run the development server
npm run start:dev

# Build the server
npm run build

📦 Installation

To use with Claude Desktop or other MCP-compatible AI assistants:

Configuration

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json

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

🔧 Debugging

MCP servers communicate over stdio which can make debugging challenging. Use the integrated MCP Inspector:

# Debug with MCP Inspector
npm run inspector

The Inspector provides a browser-based interface for monitoring requests and responses.

🔒 Security

This server handles sensitive LinkedIn authentication credentials. Review the token management system to ensure it meets your security requirements.

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.

This server cannot be installed

-

security - not tested

A

license - permissive license

-

quality - not tested

Enables AI assistants to interact with LinkedIn data through the Model Context Protocol, allowing profile searches, job discovery, messaging, and network analytics.