https://github.com/hritik003/linkedin-mcp

A MCP server for LinkedIn to seamlessly apply for jobs🚀
https://github.com/hritik003/linkedin-mcp

Last synced: 4 months ago
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A MCP server for LinkedIn to seamlessly apply for jobs🚀

• Host: GitHub
• URL: https://github.com/hritik003/linkedin-mcp
• Owner: Hritik003
• Created: 2025-01-31T07:37:08.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2025-04-21T05:49:15.000Z (6 months ago)
• Last Synced: 2025-06-17T13:09:43.914Z (4 months ago)
• Language: Python
• Homepage:
• Size: 9.77 KB
• Stars: 17
• Watchers: 1
• Forks: 6
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

          
# MCP Server for LinkedIn

[![smithery badge](https://smithery.ai/badge/@Hritik003/linkedin-mcp)](https://smithery.ai/server/@Hritik003/linkedin-mcp)

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

This uses Unoffical [Linkedin API Docs](https://linkedin-api.readthedocs.io/en/latest/api.html) 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

3. **Feed Posts**

  - Retrieve LinkedIn feed posts using `get_feed_posts()`

  - Configurable limit and offset for pagination

  

4. **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 `` accordingly

```python

{

    "linkedin":{

        "command":"uv",

        "args": [

            "--directory",

            "",

            "run",

            "linkedin.py"

        ]

    }   

}     

```

---

# Usage

I have been testing using [MCP-client](https://github.com/chrishayuk/mcp-cli) and found as the best one for testing your `MCP-Servers`.