From HTTP to REST to MCP

Model Context Protocol (MCP) represents a significant shift in enterprise architecture by focusing on context and capability rather than just resources or documents, akin to previous transitions seen with HTTP and REST. Unlike REST, which predefines interactions, MCP allows systems to dynamically discover capabilities and make decisions at runtime, which is essential for building adaptive, intelligent systems. However, the true value of MCP comes from integrating it with robust data governance to ensure access to the right data with the right context, as poor data management can lead to unreliable outcomes. Organizations that effectively leverage MCP as a structural inflection point can reduce the complexity of building AI systems, making them more flexible and scalable, while those that treat it merely as a developer tool may fall into familiar patterns of inefficiency. Therefore, the success of MCP relies on a holistic approach to data infrastructure and governance, which ultimately dictates the system's reliability and the ability to trust its outputs at scale.