[Gerardo1]

> because MCP brings _nothing_ to the table that I could not do with a "proper" API using completely standard tooling.

This is what drives me crazy and has stopped my tinkering with MCP in its tracks: what is the point? It's not bringing anything new. It's usually not easier to set-up than what you're describing. Or, if you absolutely must have an LLM in the mix, normal function calling does just as well as MCP.

It's a real, "I feel like I'm taking crazy pills" moment: there's all this hype and bluster and "wow look at this", but there is no "this". Everyone's talking about "it can do" and "it'll be amazing when", but there's nothing actually built and present and ready that is impressive.

[zingababba]

It's not really MCP that is 'this', MCP is just the glue that makes the NLP as frontend easy to conceptualize in terms of application. Everyone is getting excited because it's now relatively obvious how you can go from talking to LLM -> large orchestration happening, even though you could do this already with langchain or whatever.

MCP is basically just a protocol you can bring into the context window, do your LLM coding magic, then start up your MCP server and test your tool chain for your NLP as frontend stuff. The only difference is now it's not deterministic so stuff will get randomly fucked up.