This MCP server integrates LinkedIn API with AI systems, allowing profile searches, detailed retrievals, job discoveries, and messaging capabilities via Model Context Protocol (MCP). It enables seamless AI-driven access to LinkedIn data, supporting advanced filters and analytics, built with modern TypeScript for robust performance and security.
Added on:
Created by:
Mar 28 2025
This MCP server integrates LinkedIn API with AI systems, allowing profile searches, detailed retrievals, job discoveries, and messaging capabilities via Model Context Protocol (MCP). It enables seamless AI-driven access to LinkedIn data, supporting advanced filters and analytics, built with modern TypeScript for robust performance and security.
Added on:
Created by:
Mar 28 2025
Felipe Rodrigues
Featured
What is LinkedIn MCP Server?
The LinkedIn MCP Server is a TypeScript-based server that enables AI applications to connect with and utilize LinkedIn data through the Model Context Protocol (MCP). It provides tools for profile search, detailed profile retrieval, job searching, messaging, and accessing network statistics. Designed for developers and AI integrators, it streamlines the process of building intelligent assistants that can perform LinkedIn-related tasks, automate data collection, and enhance professional networking capabilities with secure and structured API calls.
Who will use LinkedIn MCP Server?
- AI developers
- Product integrators
- HR technology developers
- Automation specialists
- LinkedIn marketing tools users
How to use the LinkedIn MCP Server?
- Step 1: Install dependencies using npm or yarn
- Step 2: Configure the MCP server in your environment
- Step 3: Run the server with npm run start:dev
- Step 4: Connect your AI system to the MCP server
- Step 5: Use provided API functions for profile search, retrieval, messaging, and jobs
LinkedIn MCP Server's Core Features & Benefits
The Core Features
- Profile Search
- Profile Retrieval
- Job Search
- Messaging
- Network Stats
The Benefits
- Automates LinkedIn data access for AI, enhances AI-driven recruitment and networking, provides secure API interactions, supports custom filters and analytics, simplifies integration with MCP protocol
LinkedIn MCP Server's Main Use Cases & Applications
- AI-powered LinkedIn profile analysis
- Automated job scraping and recommendations
- Messaging automation for outreach campaigns
- Network analytics and connection tracking
- Integrating LinkedIn data into AI assistant workflows
FAQs of LinkedIn MCP Server
Developer
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