Experiment idea: Combining MCP with a stateful agent.

I was reading up on MCP (Model Context Protocol) and I love the idea of an open standard for connecting models to external tools. It could make agents much more versatile.

But it seems to solve the "how to talk to things" problem, not the "how to remember things" problem. The agent could learn to use a new API via MCP, but would it remember how to use it a week later?

It makes me think the perfect setup would be an agent using MCP for its tool connections, but running on a platform like SuperClaw for its core memory. That way it could learn a new skill and actually retain it permanently. It would be true, long-term learning.

Has anyone here tried hooking up an agent that uses MCP to a persistent hosting environment? I'm curious if it works like I'm imagining.