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. MCP supports OAuth, so your access conform with numerous CIS (et al) compliance checklists (short lived secrets, MFA, user-specific credentials, user access managed by centralised directory services and thus can have business rules applied, etc)
2. MCP is something a business can make a cooperate decision on. And then you can refer to that decision each time you need an access to new service. Whereas API access isn’t. In some cases APIs are governed by LLDs, and then you have an extra layer of “fun” having to update documentation to describe, in detail, the technical specifications too.
3. MCP defines the interaction better. If you need to request access to an API then the inevitable question from the committee is “where is this code running from?” and so on and so forth. Whereas saying “MCP access for AI to assist the project team with development” is a lot easier conversation to have.
In short: Enterprises are a very different beast to your average business.
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 make interaction part with the world easier in the near term, and it will help accelerate very early progress. But ultimately, MCP is a temporary bridge. Not the final destination.
I give it max 3 to 6 years and it will just die.
Explains a lot.