Enables AI models like Claude to search LinkedIn job listings with advanced filtering capabilities.
Sponsored
This Model Context Protocol (MCP) server empowers AI assistants, such as Claude, to directly access and search LinkedIn's vast database of job listings. It offers comprehensive filtering options, allowing users to precisely tailor their job searches by criteria like location, job type, experience level, and salary. Built with TypeScript and the official MCP SDK, it provides a fast, reliable, and easily integratable solution for AI-powered job discovery.
Key Features
01Advanced job search with multiple filters (location, type, experience, salary)
02Easy integration with Claude Desktop, Claude Code, and other MCP clients
03Smart filtering options for precise job discovery
04No authentication or API keys required, uses public job listings
05Fast and reliable search using the `linkedin-jobs-api` package
060 GitHub stars
Use Cases
01Search for specific job titles in a given location (e.g., 'software engineer jobs in San Francisco')
02Find remote positions posted within a certain timeframe (e.g., 'remote product manager positions posted in the past week')
03Discover entry-level roles with minimum salary requirements (e.g., 'entry-level data analyst jobs in New York with a minimum salary of $80,000')
