What is MCP (and Why Should You Care)?

Model Context Protocol (MCP) is an open-source specification introduced by Anthropic that standardizes secure connections between AI applications, particularly large language models, and enterprise data sources, tools, and systems. Rather than improving a model’s inherent reasoning or creating business context itself, MCP provides a consistent runtime interface through which models can access authorized, relevant information such as customer records, policies, business rules, metadata, and system status. This can reduce the need for custom integrations, make context reusable across applications, and give data teams clearer control over what information is exposed and when. MCP can help make AI outputs more grounded in current business operations and support uses such as automation, reporting, and decision support, but it remains an early-stage standard and does not replace sound data architecture, governance, curated data, human oversight, or effective model development.

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