Definition
MCP, or Model Context Protocol, is a crucial AI concept that defines how an AI model perceives and processes the information it receives. It establishes the boundaries and structure of the input data, ensuring the model understands the relevant context for its tasks. In practice, MCP dictates the format and scope of prompts and data fed to AI systems, guiding their responses and actions. Understanding MCP is vital for effective AI deployment, preventing misinterpretations and optimizing performance in real-world applications. For instance, an MCP might specify that a customer service chatbot should only consider the current conversation history and user profile, not unrelated past interactions. This differs from simply feeding raw data, as MCP imposes a structured interpretation framework. MCP is a foundational concept tested in AI and responsible AI certification domains.