Overview

The LinkedIn MCP Server connects AI assistants to the world's largest professional network with over 1 billion members. This server enables AI models to publish content, share updates, engage with posts through comments and reactions, and manage your professional presence on LinkedIn — making it an invaluable tool for personal branding, lead generation, and professional networking.

Community MCP Server:

Key Features

📝

Publish Content

Create and publish posts, articles, and updates to your LinkedIn feed

💬

Engagement

Comment on posts, react with likes and other reactions, and interact with your network

📊

Content Analytics

Track post performance, engagement metrics, and audience insights

👤

Profile Management

View and update profile information, headline, and professional experience

🔗

Network Activity

Monitor feed activity, connection updates, and industry news

🎯

Lead Generation

Identify prospects, engage with target accounts, and nurture professional relationships

Available Tools

Quick Reference

Tool	Purpose
`create_post`	Publish a new post to your LinkedIn feed
`comment_on_post`	Comment on an existing post
`react_to_post`	React to a post with likes, celebrate, or other reactions
`get_feed`	Get recent posts from your LinkedIn feed
`get_post_analytics`	Get engagement metrics for your posts
`update_profile`	Update your profile headline or summary

Detailed Usage

create_post▶

Publish a new post to your LinkedIn feed with optional media and hashtags.

{
  "text": "Excited to share our latest research on AI-driven market analysis!",
  "hashtags": ["AI", "MachineLearning", "Innovation"],
  "media_url": "https://example.com/thumbnail.jpg"
}

comment_on_post▶

Comment on a LinkedIn post to engage with your network.

{
  "post_id": "urn:li:activity:123456789",
  "text": "Great insights! This aligns well with our recent findings."
}

react_to_post▶

React to a post with like, celebrate, support, love, insightful, or funny.

{
  "post_id": "urn:li:activity:123456789",
  "reaction": "like"
}

get_post_analytics▶

Get engagement metrics for your LinkedIn posts.

{
  "post_id": "urn:li:activity:123456789"
}

Installation

{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": ["-y", "linkedin-mcp"],
      "env": {
        "LINKEDIN_ACCESS_TOKEN": "your_linkedin_token"
      }
    }
  }
}

API Access:

LinkedIn requires API access through the LinkedIn Developer Portal. You'll need a verified developer account and approved application.

Use Cases

Content Strategy

Have AI plan and publish a consistent stream of professional content aligned with your brand voice.

Network Engagement

Automate meaningful engagement with your network's content through intelligent comments and reactions.

Personal Branding

Build and maintain your professional brand with AI-assisted content creation and publishing.

Social Selling

Identify and engage with prospects through targeted content and interaction strategies.

LinkedIn MCP Server