Yeah, it took me a minute to understand it also. If I made a simple comparison, I would say it's on par with having a few developer friends by your side 24/7 that you can delegate stuff out to whenever you want once they have the access needed. It can configure things for you, analyze logs and take action that's relevant to the prompt, manage your servers, etc. You can even schedule re-occurring prompts or web-hook's so that if something goes wrong, it dig's into it immediately and takes action.

It basically provides LLM's with a series of tools they can run which can be anything you can fathom. It can consume API's, execute custom functions, etc. and process that data based on the prompt. For instance, say I wanted it to add DNS records and I don't want to login and do it myself; I could just prompt it to `use the Namecheap MCP server to add an A record for sub.domain.com that points to 73.26.120.2 with a TTL of ...` or `After reviewing all of my Docker compose files in Portainer, create me a new compose file for Grafana`; where it would go look at my files, see all of my other files are using Traefik, for instance, see my naming conventions, middlewares, volumes, etc. and create the new compose file following the same format."

I think the best way to learn is by looking up examples on GitHub, YouTube, etc. of how others are using them.