MCP

The Model Context Protocol (MCP) is a framework designed to enhance the interaction between artificial intelligence models and their operational environments. It defines the context in which a model operates, including the data inputs, user requirements, and constraints that shape its responses. The MCP facilitates better understanding and management of model behavior, ensuring that outputs are relevant and appropriate to the given context. Common use cases include applications in conversational AI, where maintaining context is crucial for coherent dialogue, and in recommendation systems, where user context significantly influences suggestions.