So you found them useful to script what other open source tools can do with basic automation tools? How is any of this unique to MCP?
Why is AI involved for any other reason than building the original test implementation?
Why is AI involved for any other reason than building the original test implementation?
Not sure if you got the right context, your question doesn't really make sense to me.
We're back onto the original use cases for natural language processing. This is where all the value always was, and now the market has proven to itself what anyone with even a bachelor's in computer science already knew.