Think about two scenarios that are pretty common. 1) You hit a rate limit or run out of tokens, so you have to "downgrade" to a small/less powerful Model. 2)
"treat 'em like cattle, not pets".
This was, and continues to be, how many look at Kubernetes Pods and microservice-based architecture. It makes a lot of sense for objects
An Agent makes a call to an LLM. The LLM decides which MCP server tool should be used for a task. The Agent then makes a call to said tool. This can happen
Three big topics when it comes to MCP:
1. How do you know the MCP Server is secure?
2. Where is it stored?
3. Is it version-controlled, or can anyone just change
Having an Agent run, whether it's on your local system (e.g - Claude Code) or in a k8s cluster, is now table stakes. Everyone from engineers to people in other professions,