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3 RESULTS FOR “MCP apps”
AUTOMATIC CAPTIONS / 0:27
MCP Apps: Rich UI for Any AI Client, No Frontend Required ↗
Claude um you call the tool, you get your result back, but it renders it in line as part of the conversation as text. What it didn't have until now is a standardized way of presenting UI interfaces. And that's where MCP apps comes in. It was launched about a month ago and it's the first official extension to model context protocol. And probably the bit that surprised everyone is it was co-authored by both Anthropic and OpenAI building upon the MCP UI
ORIGINAL SOURCE ↗AUTOMATIC CAPTIONS / 1:45
MCP Apps: Rich UI for Any AI Client, No Frontend Required ↗
first, just to make things a little bit real, I'm going to show you how MCP apps works within Claude and ChatgPT. So, I've got Cloud open at the moment. I am going to uh click on settings and we're going to add a new connector that I've built with an MCP server uh already. So, I am going to go to connectors and then at the bottom here, I'm going to add custom connector. I'm going to give it the name chart and then I'm going to
ORIGINAL SOURCE ↗TITLE & DESCRIPTION
MCP Apps: Rich UI for Any AI Client, No Frontend Required ↗
Every MCP tool returns the same thing — a wall of text or a JSON blob. It works, but it's not exactly impressive. MCP Apps change that. Same server, same tools, but now your responses render as interactive maps, dashboards, charts, timelines, and more — in Claude, ChatGPT, and your CLI.
In this video I'll show you what MCP Apps actually are, how the ext-apps protocol works, and how to go from a plain Python MCP server to rich interactive UI without writing a single line of frontend code.
I've built 66 standalone UI views as part of chuk-mcp-ui — all open source, all deployed and ready to use. You just point your server at them.
ORIGINAL SOURCE ↗