LinkedIn Jobs MCP Server

LinkedIn Jobs MCP Server

By Rom7699 GitHub

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

Overview

What is LinkedIn Jobs MCP Server?

LinkedIn Jobs MCP Server is a Model Context Protocol (MCP) server designed for searching and retrieving LinkedIn job postings through the RapidAPI LinkedIn Data API.

How to use LinkedIn Jobs MCP Server?

To use the server, clone the repository, install the required packages, and configure your RapidAPI key in a .env file. Run the server using Python, and integrate it with Claude Desktop for job searches.

Key features of LinkedIn Jobs MCP Server?

  • Search for LinkedIn job postings using keywords.
  • Filter jobs by location.
  • Retrieve detailed information about specific job postings.
  • Search for LinkedIn location IDs.

Use cases of LinkedIn Jobs MCP Server?

  1. Finding job opportunities in specific locations.
  2. Retrieving detailed job descriptions for applications.
  3. Integrating job search capabilities into AI applications.

FAQ from LinkedIn Jobs MCP Server?

  • What is MCP?

Model Context Protocol (MCP) allows AI models to interact with external tools and APIs for enhanced capabilities.

  • What are the requirements to run the server?

You need Python 3.8+, a RapidAPI key, and the required Python packages listed in requirements.txt.

  • Can I contribute to this project?

Yes! Contributions are welcome, and you can submit a Pull Request.

Overview

What is LinkedIn Jobs MCP Server?

LinkedIn Jobs MCP Server is a Model Context Protocol (MCP) server designed for searching and retrieving LinkedIn job postings through the RapidAPI LinkedIn Data API.

How to use LinkedIn Jobs MCP Server?

To use the server, clone the repository, install the required packages, and configure your RapidAPI key in a .env file. Run the server using Python, and integrate it with Claude Desktop for job searches.

Key features of LinkedIn Jobs MCP Server?

  • Search for LinkedIn job postings using keywords.
  • Filter jobs by location.
  • Retrieve detailed information about specific job postings.
  • Search for LinkedIn location IDs.

Use cases of LinkedIn Jobs MCP Server?

  1. Finding job opportunities in specific locations.
  2. Retrieving detailed job descriptions for applications.
  3. Integrating job search capabilities into AI applications.

FAQ from LinkedIn Jobs MCP Server?

  • What is MCP?

Model Context Protocol (MCP) allows AI models to interact with external tools and APIs for enhanced capabilities.

  • What are the requirements to run the server?

You need Python 3.8+, a RapidAPI key, and the required Python packages listed in requirements.txt.

  • Can I contribute to this project?

Yes! Contributions are welcome, and you can submit a Pull Request.

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