Vishal Dodiya

From Zero to MCP UI Hero: Building Context-Aware AI Apps That Actually Work

What if your AI could render interactive UIs directly inside a chat? Learn to build context-aware apps that bridge the gap between LLMs and rich user interfaces.

From Zero to MCP UI Hero: Building Context-Aware AI Apps That Actually Work
#1about 3 minutes

Understanding mCP Apps for interactive chat UIs

mCP Apps are a standard for delivering interactive HTML interfaces directly from an mCP server into a chat conversation to enhance user exploration.

#2about 5 minutes

Setting up the backend server and app resource

An Express server is configured with an mCP endpoint to register a primary app resource that serves the HTML for the to-do list UI.

#3about 6 minutes

Registering tools to list, create, and toggle items

Three distinct tools are registered on the server to handle listing all to-dos, creating a new item with Zod schema validation, and toggling an item's completion status.

#4about 2 minutes

Building the frontend widget to call server tools

The React component uses `window.parent.postMessage` to send tool call requests from the rendered UI back to the LLM client.

#5about 2 minutes

Integrating and testing the mCP App with Claude AI

The local server is exposed via a proxy tunnel and added as a connector in Claude AI, revealing a UI refresh issue during the initial test.

#6about 3 minutes

Fixing the UI refresh bug with event listeners

A `message` event listener is added to the React component to receive tool output from the LLM, enabling the UI to update its state and re-render with the latest data.

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