Linkedin Mcp

Name: Linkedin Mcp
Author: Hritik003

by Hritik003

A MCP server for LinkedIn to seamlessly apply for jobs🚀

30 GitHub

No known CVEs

No license

Stale

Last commit 415d ago

Works with most clients

Transport: stdio, http

0 tools

Grade F

Edit this pageView history

Productivity

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "linkedin-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/linkedin-mcp)](https://mcppedia.org/s/linkedin-mcp)

Read me

What Linkedin Mcp does

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

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

22/100across 5 weighted dimensions

How we score →

0255075100

−78

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Community

Reviews

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Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Linkedin Mcp safe to use?: Linkedin Mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install Linkedin Mcp?: Linkedin Mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with Linkedin Mcp?: Linkedin Mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is Linkedin Mcp actively maintained?: Linkedin Mcp is not actively maintained — last commit was 415 days ago. It has 30 GitHub stars.

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MCP Security Weekly

Get CVE alerts and security updates for Linkedin Mcp and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

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

Frequently Asked Questions

Is Linkedin Mcp safe to use?

Linkedin Mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install Linkedin Mcp?

Linkedin Mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with Linkedin Mcp?

Linkedin Mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.

Is Linkedin Mcp actively maintained?

Linkedin Mcp is not actively maintained — last commit was 415 days ago. It has 30 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

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.