GenHire: An AI-Based Resume Screening and Job Matching SystemUsing Model Context Protocol (MCP)

Abstract

The development of online job sites has widened the scope of employment opportunities but has complicated the process of getting the right jobs to do. Old methods of job recommendation are based on the notion of key word matching, and thus are not in a position to detect contextual relationships between resumes and job descriptions. In this paper, the author introduces GenHire, an AI-powered resume screening and job matching algorithm that uses Generative AI and the Model Context Protocol (MCP) to enhance the accuracy of the recommendation. It pulls in skills via Natural Language Processing and matches them with job opportunities on sites such as LinkedIn and Naukri. The system offers scalable, precise and efficient recruitment solutions by integrating key word extraction, semantic interpretation and structured processing.