Hosting MCP Gateway Registry on AWS ECS: A Practical Blueprint for Enterprise Agentic AI Systems
AI agents are no longer just demo applications that answer questions.
They are slowly becoming systems that can take action: search customer records, update opportunities, generate quotes, create tickets, check inventory, read contracts, trigger workflows, and interact with business applications.
That is where the real enterprise problem begins.
When an AI agent only chats, the risk is limited. But when an agent starts using tools, APIs, and enterprise systems, we need a much stronger operating model. We need to know what the agent can access, who approved that access, what data it can touch, and how we can monitor every action.
