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@mcp-registry/linkedin-mcp

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@mcp-registry/linkedin-mcp

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

1.0.4
latest
Source
npm
Version published
Weekly downloads
4
-77.78%
Maintainers
1
Weekly downloads
 
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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

  • Profile Retrieval

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

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

FAQs

Package last updated on 20 Apr 2025

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