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linkedin-mcp

Fetch user profiles, search for jobs, and retrieve feed posts from LinkedIn. Analyze resumes to extract key information and streamline profile management and job search processes.

Author

linkedin-mcp logo

Hritik003

No License

Quick Info

GitHub GitHub Stars 24
NPM Weekly Downloads 283
Tools 1
Last Updated 2026-02-19

Tags

linkedinresumesprofileslinkedin analyzelinkedin mcphritik003 linkedin

MCP Server for LinkedIn

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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

  3. 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
  4. Customizable search limit

  5. Feed Posts

  6. Retrieve LinkedIn feed posts using get_feed_posts()

  7. Configurable limit and offset for pagination

  8. Resume Analysis

  9. Parse and extract information from resumes (PDF format)

  10. 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.

See Also

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