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MCP server · Security

Linkedin MCP

by · github.com/Hritik003/linkedin-mcp

A MCP server for LinkedIn to seamlessly apply for jobs🚀

Unclaimed last commit a year ago security
InstallView source
46Fair

Scored 11 days ago · breakdown

About Linkedin MCP

Linkedin MCP is an MCP server published by Hritik003 in the Security category: a MCP server for LinkedIn to seamlessly apply for jobs🚀.

The repository has 36 stars and 8 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/Hritik003/linkedin-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 4 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • !License declaredNo license file. Legally you have no right to use it in a product.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

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

  • 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.

README fetched from the repository 4 days ago. The original is authoritative.

Questions

About Linkedin MCP

How do I install Linkedin MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Linkedin MCP safe to use with an AI agent?

Its trust score is 46 out of 100 (fair). It passes 2 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Linkedin MCP still maintained?

The last commit was a year ago and 1 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.