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
Used for package management and running development scripts for the LinkedIn MCP server
Provides structured logging capabilities for better observability of the LinkedIn MCP server
Built with TypeScript for type safety and improved developer experience when creating LinkedIn API integrations
Alternative package manager that can be used for managing dependencies of 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.
Related MCP server: Meilisearch MCP Server
✨ 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
📦 Installation
To use with Claude Desktop or other MCP-compatible AI assistants:
Configuration
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%/Claude/claude_desktop_config.json
🔧 Debugging
MCP servers communicate over stdio which can make debugging challenging. Use the integrated MCP 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.