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LinkedIn Jobs MCP Server

@Rom7699

Repository

Basic information

Category

Other

Transports

stdio

Author

Rom7699

About LinkedIn Jobs MCP Server

A Model Context Protocol (MCP) server for searching and retrieving LinkedIn job postings via the RapidAPI LinkedIn Data API.

LinkedIn Jobs MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "linkedin-jobs-mcp-server": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

LinkedIn Jobs MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is LinkedIn Jobs MCP Server?

A Model Context Protocol (MCP) server for searching and retrieving LinkedIn job postings via the RapidAPI LinkedIn Data API.

How to use LinkedIn Jobs MCP Server?

Install Python 3.8+, clone the repository, install required packages with pip install -r requirements.txt, create a .env file with your RAPIDAPI_KEY, and run python main.py to start the server. Then configure Claude Desktop by adding the server to claude_desktop_config.json.

Key features of LinkedIn Jobs MCP Server

  • Search for LinkedIn job postings using keywords
  • Filter jobs by location
  • Get detailed information about specific job postings
  • Location search functionality for finding LinkedIn location IDs

Use cases of LinkedIn Jobs MCP Server

  • Find software engineering jobs in a specific city with keyword search
  • Retrieve full details of a particular job listing by its ID
  • Look up LinkedIn location IDs to use in job searches
  • Integrate LinkedIn job data into AI-powered workflows via Claude Desktop

Frequently asked questions

1

What are the system requirements?

Python 3.8+ and a RapidAPI key with access to the LinkedIn Data API are required.

2

How do I configure the server with Claude Desktop?

Add the server to your `claude_desktop_config.json` specifying the Python command and path to the `main.py` file.

3

What tools does the server provide?

Three tools: `search_jobs(keywords, limit, location, format_output)`, `get_job_details(job_id)`, and `search_locations(keyword)`.

4

How do I install dependencies?

Run `pip install -r requirements.txt` from the project root directory.

5

Where does the job data come from?

All data is fetched from the LinkedIn Data API available through RapidAPI.

Comments

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