I used to spend way too much time context-switching between Cursor, my terminal, and the Modal web dashboard.
You know the drill: a GPU job is running, you aren't sure if it's hanging or just slow, so you leave your IDE, open a browser tab, navigate through the dashboard, hunt for the specific deployment ID, and check the logs. It’s a micro-interruption that adds up to hours of lost flow state every week.
The moment I connected the Modal Serverless AI Infrastructure MCP to my agent, that workflow died. Not because the dashboard is bad—it's actually quite solid—but because I realized I didn't need a UI for basic operational oversight. I just needed an interface that lived where I write code.
The problem with 'Read-Only' AI
A lot of people treat MCP servers like glorified documentation readers. They use them to parse logs or query databases, but they stop short when it comes to action. They're afraid of the agent 'doing something' wrong.
