This. We also thought MCP was useless, but now the workflows by ChatGPT and Claude are so good; it's as good as installing an app from the App Store. We launched MCP for our SaaS and immediately found users using it.
API and MCP all are just buzzwords for customers. What they care about is whether they can get tasks done in our SaaS using Claude or ChatGPT. If that happens, it's a success.
My company uses MCP in production to connect different AI products together that were developed by different teams. It makes the connections very easy, where a REST interface often has quirks and features that you have to understand.
That's fair. REST isn't much of a standard. MCP can be just as badly designed and documented as REST, but at least there's a standard for authenticating and listing the options. Reading through other top-level comments, this seems to be the theme. MCP usage is mostly driven by ease of connection.
Basically it's just bundling the API documentation into a standard format to plug into LLMs, if you're comfortable running prompt injection on yourself and downloading random text from random websites and telling your favorite LLM to use it to access your banking information.
API and MCP all are just buzzwords for customers. What they care about is whether they can get tasks done in our SaaS using Claude or ChatGPT. If that happens, it's a success.