LinkedIn

Integrates with LinkedIn to enable profile retrieval, job searching, feed post access, and resume analysis for automated platform engagement.

Installation Instructions

README: https://github.com/Hritik003/linkedin-mcp

MCP Server for LinkedIn

A Model Context Protocol (MCP) server for linkedin to apply Jobs and search through feed seamlessly.

This uses Unoffical Linkedin API Docs for hitting at the clients Credentials.

Features

1. Profile Retrieval

   Fetch user profiles using get_profile() function Extract key information such as name, headline, and current position

2. Job Search

• Advanced job search functionality with multiple parameters:
  • Keywords
  • Location
  • Experience level
  • Job type (Full-time, Contract, Part-time)
  • Remote work options
  • Date posted
  • Required skills
• Customizable search limit

3. Feed Posts

• Retrieve LinkedIn feed posts using get_feed_posts()
• Configurable limit and offset for pagination

4. Resume Analysis

• Parse and extract information from resumes (PDF format)
• Extracted data includes:
  • Name
  • Email
  • Phone number
  • Skills
  • Work experience
  • Education
  • Languages

Configuration

After cloning the repo, adjust the <LOCAL_PATH> accordingly

{
    "linkedin":{
        "command":"uv",
        "args": [
            "--directory",
            "<LOCAL_PATH>",
            "run",
            "linkedin.py"
        ]
    }   
}     

Usage

I have been testing using MCP-client and found as the best one for testing your MCP-Servers.