MCP (model context protocol)

MCP (model context protocol) is a glossary term used to describe an important concept, capability, or operational pattern within artificial intelligence, digital systems, and modern enterprise technology. At a high level, it refers to how organizations structure knowledge, processes, models, interactions, or workflows in order to make technology more useful, scalable, and aligned with business outcomes. Although the exact meaning can vary depending on the environment in which it is used, MCP (model context protocol) generally represents a building block that helps teams understand how AI-enabled systems are designed, managed, evaluated, or applied in real-world settings.

From a technical perspective, this concept is usually connected to model behavior, architecture, inference, optimization, training, or evaluation. It matters because these choices directly affect system performance, interpretability, latency, cost, and scalability in production environments.