Show HN: Stop returning raw JSON from MCP servers, build rich inline UIs (medium.com)

A significant advancement in the AI/ML community has been announced with the introduction of **MCP Apps**, a protocol extension to the Model Context Protocol (MCP) that allows for interactive applications to be embedded directly within conversations with AI agents. Previously, interactions with MCP servers returned raw JSON data, limiting the user experience to text alone. MCP Apps changes this by enabling AI agents to render rich, interactive HTML widgets inline, thereby enhancing how information is displayed and interacted with, such as providing a weather forecast through a user-friendly visual interface instead of just textual data. This development is crucial as it transforms user interactions, making complex data easier to interpret and manipulate. For instance, the weather card example illustrates how users can request a forecast and, rather than receiving plain text, they are presented with an interactive card that allows them to toggle between temperature units or refresh data seamlessly. The architecture is designed such that while standards are maintained for text output, the new UI elements enhance the functionality without requiring a complete overhaul of existing systems. As MCP Apps become integrated into various AI platforms, it promises to fundamentally improve user experience by making data more accessible and actionable.