Model Context Protocol (MCP) is an open standard that defines a structured interface through which AI applications can interact with enterprise systems and data sources, as exposed by MCP servers.

In the context of enterprise architecture, MCP allows authorized users to ask questions in natural language through AI tools such as ChatGPT, Microsoft Copilot, and Claude. Those tools translate the request into structured queries against governed EA models. This makes it possible for business and technology stakeholders to explore applications, processes, capabilities, risks, and dependencies directly from the architecture repository, without needing deep architectural expertise. 

MCP enables AI to reason over complex enterprise contexts and insights, not just retrieve data. By linking AI assistants to governed EA data, teams can instantly surface dependencies, risks, and progress across applications, processes, and capabilities. This gives business and IT roles access to the same trusted, structured enterprise intelligence, helping them make confident, evidence-based decisions. 

MCP makes architectural intelligence accessible beyond the EA team. Business analysts, product owners, transformation leads, and other authorized users can interact with the enterprise model through AI without needing deep EA expertise.
It gives them secure, real-time access to trusted enterprise insights through the AI tools they already use, helping teams find answers and make decisions in seconds.

Behind the scenes, MCP is the enabler that connects data, AI, and people. It drastically scales the EA team’s strategic impact by reducing manual work, streamlining repetitive requests, and getting valuable insight into the hands of those who need it across the business.

MCP provides AI with direct access to enterprise architecture models, including applications, processes, capabilities, risks, and their relationships. Instead of inferring context from documents or dashboards, AI can query the architecture as a structured, governed system and evaluate dependencies, governance rules, and impact across the enterprise.