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2025-02-01

A MCP server for LinkedIn to seamlessly apply for jobs🚀

3 years

Works with Finder

1

Github Watches

2

Github Forks

9

Github Stars

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
  1. Feed Posts
  • Retrieve LinkedIn feed posts using get_feed_posts()
  • Configurable limit and offset for pagination
  1. 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.

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    Reviews

    4 (1)
    Avatar
    user_iGAgAYK7
    2025-04-15

    I've been using Ollama Chat with MCP and it's truly impressive! The integration with MCP enhances communication by offering seamless experiences and reliable performance. It has significantly improved my productivity and the user-friendly interface is just the cherry on top. Highly recommend for anyone in need of an efficient chat solution!