🚀 LinkedIn's MCP Server

A Model Context Protocol (MCP) server for LinkedIn to enable seamless job applications and feed browsing. This project utilizes the unofficial LinkedIn API documentation for calls via client credentials.

🚀 Quick Start

This is a Model Context Protocol (MCP) server designed for LinkedIn. It allows users to apply for jobs and browse feeds seamlessly. The project makes use of the unofficial LinkedIn API documentation and invokes the API through client credentials.

✨ Features

1. Profile Retrieval

• Use the get_profile() function to obtain user profiles.
• Extract key information such as Name, Position, and Introduction.

2. Job Search

• It has advanced search capabilities, supporting multiple parameters:
  • Keywords
  • Location
  • Experience level
  • Job type (Full-time, Contract, Part-time)
  • Remote work options
  • Posting date
  • Required skills
• Support for custom search limits.

3. Dynamic Feeds

• Use the get_feed_posts() function to get LinkedIn dynamic posts.
• Configurable limits and offsets for pagination.

4. Resume Analysis

• Parse and extract information from resumes (in PDF format).
• The extracted data includes:
  • Name
  • Email
  • Contact phone number
  • Skills
  • Work experience
  • Educational background
  • Languages

📦 Installation

After cloning the repository, adjust <LOCAL_PATH> as needed.

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

💻 Usage Examples

Basic Usage

I used MCP-client for testing and found it to be the best tool for testing the MCP-Server.

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Advanced Usage

There is no specific advanced usage code example in the original text, so this part is left blank.

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