I’ve spent enough time in terminal windows and dashboard tabs to know that the most expensive part of modern development isn't the compute—it's the context switch.
You're mid-flow, debugging a logic error in Cursor or Claude, and suddenly you realize the build failed. Instead of staying in the zone, you jump to the Netlify dashboard, hunt for the specific deployment log, identify which commit caused the break, and then head back to your IDE to push a fix. It’s a micro-interruption that happens ten times a day. Over a week, it's hours of lost focus.
The Model Context Protocol (MCP) changes this by moving away from "chatting about code" toward "acting on infrastructure." But there is a massive difference between having an MCP server that can merely read documentation and one that can actually orchestrate a deployment pipeline safely.
Beyond the Chatbox
When people talk about AI agents, they usually think about text generation. They forget that an agent is useless if it doesn't have agency. Most existing integrations fail because they aren't production-ready; they lack the granular control needed to handle real-world CI/CD tasks without risking a catastrophic wipeout of your production environment.
