MCP servers are a great way to expose structured tools, but they’re usually just that—collections of functions. Nanobot makes it simple to wrap any MCP server with reasoning, a system prompt, and orchestration so it behaves like a real agent. Even better, Nanobot fully supports MCP-UI, so agents can pass rich interactive components (forms, dashboards, even mini-apps) directly into chat.
A simple example: if you had a Blackjack MCP server with tools like deal, bet, and hit, you could wrap it with Nanobot to create a dealer agent that knows how to explain the game, guide a player, and render an interactive Blackjack table inside chat.
We built this because we wanted agents that go beyond text and function calls, into actual interactive experiences—something useful for everything from games to e-commerce to developer tools.
Code is on GitHub: https://github.com/nanobot-ai/nanobot
Live demo (Blackjack): https://blackjack.nanobot.ai
We’d love feedback from this community—on the framework, the design, and what you’d like to see next.