Discover how MCP-UI is revolutionizing AI agent interactions by bringing rich, interactive web components directly into agent conversations, making AI more accessible and intuitive for everyone.
How a Junior developer's AI Agent confusion, led to creating an educational MCP extension that transforms Goose from an automation tool into a learning mentor.
Automate MCP tool metadata validation using composable Goose recipes to catch regressions, optimize token usage, and ensure AI agents can reliably discover and use your tools.
Enable AI agents to work directly with your Jupyter notebooks, leveraging persistent memory and stateful collaboration for enhanced ML and data science workflows