LinkedIn MCP Server

A powerful Model Context Protocol (MCP) server that enables AI agents like Claude to interact seamlessly with LinkedIn's professional network. Built with FastMCP for high performance and reliability.

What is This?

This MCP server bridges the gap between AI assistants and LinkedIn, allowing them to:

• Create and manage LinkedIn posts with text and images
• Comment on posts and engage with content
• Access profile information
• Search for companies, jobs, and people
• Automate LinkedIn interactions through natural language

Perfect for professionals who want to leverage AI to manage their LinkedIn presence efficiently.

Features

Core Capabilities

• Secure Authentication - OAuth 2.0 flow with access token management
• Content Creation - Publish text posts and image posts
• Content Management - Update and delete posts
• Engagement - Comment on posts and manage comments
• Profile Access - Retrieve authenticated user profile information
• Company Intelligence - Search and view company profiles
• Job Discovery - Search job postings and view details
• People Search - Find professionals on LinkedIn

Built With

• FastMCP - Modern Python MCP framework
• httpx - Async HTTP client for API calls
• Pydantic - Data validation and settings management
• OAuth 2.0 - Industry-standard authentication

Installation

Option 1: Using uvx (Recommended)

The fastest way to get started:

uvx linkedin-mcp-server

Option 2: Using pip

Install from PyPI:

pip install linkedin-mcp-server

Option 3: From Source

For development or customization:

git clone https://github.com/SARAMALI15792/LinkedIn_mcp_custom_server.git
cd LinkedIn_mcp_custom_server
pip install -e .

Quick Start Guide

Step 1: Create LinkedIn App

1. Go to LinkedIn Developer Portal
2. Click "Create app"
3. Fill in required information:
   • App name: Choose a descriptive name
   • LinkedIn Page: Associate with your page or create one
   • App logo: Upload a logo (optional but recommended)
4. Request access to these products:
   • Sign In with LinkedIn using OpenID Connect (instant approval)
   • Share on LinkedIn (instant approval)
5. In the "Auth" tab:
   • Add Redirect URL: http://localhost:8000
   • Copy your Client ID
   • Copy your Client Secret

Step 2: Configure Environment

Create a .env file in your working directory:

LINKEDIN_CLIENT_ID=your_client_id_here
LINKEDIN_CLIENT_SECRET=your_client_secret_here
LINKEDIN_REDIRECT_URI=http://localhost:8000

Security Note: Never commit the .env file to version control. It's already in .gitignore.

Step 3: Configure Claude Desktop

Edit your Claude Desktop configuration file:

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

Add the LinkedIn MCP server:

{
  "mcpServers": {
    "linkedin": {
      "command": "uvx",
      "args": ["linkedin-mcp-server"]
    }
  }
}

If installed via pip:

{
  "mcpServers": {
    "linkedin": {
      "command": "linkedin-mcp-server"
    }
  }
}

For local development:

{
  "mcpServers": {
    "linkedin": {
      "command": "python",
      "args": ["-m", "linkedin_mcp_server"],
      "env": {
        "LINKEDIN_CLIENT_ID": "your_client_id",
        "LINKEDIN_CLIENT_SECRET": "your_client_secret",
        "LINKEDIN_REDIRECT_URI": "http://localhost

... [View full README on GitHub](https://github.com/SARAMALI15792/Linkedin_mcp_custom_server#readme)