By connecting Agentic AI with Model Context Protocol Servers (MCPS) it is made possible to work towards autonomy of decision making workflow automation. Agent AI which is powered by large language models can provide a live context of information using MCPS. This work mostly focuses on the making of smarter workflows which are regular and pleasing traditional automation. This integration improves using a decentralized multi agent framework. Makes decisions better and works smoother. Healthcare, manufacturing, smart, and other fields cities. Tesla’s efficient production and Singapore’s Smart city are real-life examples. Nonetheless, various obstacles regarding scalability, ethics, computation, and more can hinder its application. However, challenges like scalability, ethics, and computational demands remain. This review synthesizes current research, applications, and future directions, underscoring the promise of this technology for innovative automation solutions.