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Right; isn't this already captured by an openapi spec with RBACs? Plus the benefit that your ai agent can keep using all the pre-AI tools that already interface with those specs. What is MCP bringing that an openapi spec doesn't?

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You can build an MCP client really really easy today with libraries and it integrates with inference calls very well. If you want to give a cloud agent access to another api, you need to bills a connector or give it shell access or some sort of sandbox with tools to access that stuff. That’s fine, but how do you then give it auth access? How do you ensure security boundaries? MCP builds those in and the shape (prompts, resources, tools, etc) are good for agentic work.

It’s like asking why we needed browsers when we had BBSes; they serve a different but similar purpose and are build on different abstraction levels.

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