And not everything has a CLI, but in any case, the comment I was replying to was suggesting building my own CLI, which presumably the LLM wasn’t trained on.
Maybe my understanding of MCP is wrong, my assumption is that it’s a combination of a set of documented tools that the LLM can call (which return structured output), and a server that actually receives and processes those tool calls. Is that not right? What’s the downside?
What? Why? What advantage does that have over just using an MCP server that exposes tools to run queries?
Context.
Why would I use an MCP when I can use a cli tool that the model likely trained on how to use?
Can you be more specific about “context”?
And not everything has a CLI, but in any case, the comment I was replying to was suggesting building my own CLI, which presumably the LLM wasn’t trained on.
Maybe my understanding of MCP is wrong, my assumption is that it’s a combination of a set of documented tools that the LLM can call (which return structured output), and a server that actually receives and processes those tool calls. Is that not right? What’s the downside?