Artificial Intelligence is evolving rapidly, with models becoming smarter, more capable, and increasingly conversational. But how do these models remember what you told them earlier? How do they maintain context over long interactions or recall relevant details from past sessions? This is where the Model Context Protocol (MCP) comes into play.
In this article, we’ll break down: • What is MCP? • Why MCP is important • How MCP works • Technical structure of a context • Real-world use cases • Limitations and privacy considerations
