Earlier quoted context omitted.
That’s only true for the frontier. The moment you start looking at enterprise consumers of AI you’ll see slow monoliths that make decisions by committee and those committees often don’t even understand the tech they’re passing ruling on. And you’ll also often see CISO-offices that are managed by checklists and yet more committees. Asking for MCP access is generally easier than asking for an API for several reasons: 1…
Here is my vision: the future of AI is about truly understanding the real world. The world around us. Not everything in the real world will expose an MCP server so AI can interact with it. Eventually, AI will need to move beyond MCP and interact with the real world the same way humans do: by observing, interpreting, reasoning, and taking action in messy, imperfect environments. MCP tries to organize our messy word to…
There are people complaining that MCP costs too many tokens. Parsing the same UIs that humans do would just be insane.
And to be honest, I don’t think that’s the right goal of AI anyway. Most competent engineers prefer APIs to human interfaces. So why should machine-to-machine use that too?