MCP-UI

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Getting Started ​

This guide will help you get started with building MCP Apps using the @mcp-ui/* packages.

Prerequisites ​

  • Node.js (v22.x recommended for the TypeScript SDK)
  • pnpm (v9 or later recommended for the TypeScript SDK)
  • Ruby (v3.x recommended for the Ruby SDK)
  • Python (v3.10+ recommended for the Python SDK)

Installation ​

For TypeScript ​

bash
# Server SDK
npm install @mcp-ui/server @modelcontextprotocol/ext-apps

# Client SDK
npm install @mcp-ui/client

For Ruby ​

bash
gem install mcp_ui_server

For Python ​

bash
pip install mcp-ui-server

Quick Start: MCP Apps Pattern ​

Server Side ​

Create a tool with an interactive UI using registerAppTool and _meta.ui.resourceUri:

typescript
import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
import { registerAppTool, registerAppResource } from '@modelcontextprotocol/ext-apps/server';
import { createUIResource } from '@mcp-ui/server';
import { z } from 'zod';

// 1. Create your MCP server
const server = new McpServer({ name: 'my-server', version: '1.0.0' });

// 2. Create the UI resource with interactive HTML
const widgetUI = await createUIResource({
  uri: 'ui://my-server/widget',
  content: {
    type: 'rawHtml',
    htmlString: `
      <html>
        <body>
          <h1>Interactive Widget</h1>
          <button onclick="sendMessage()">Send Message</button>
          <div id="status">Ready</div>
          <script type="module">
            import { App } from 'https://esm.sh/@modelcontextprotocol/ext-apps@0.4.1';

            // Initialize the MCP Apps client
            const app = new App({ name: 'widget', version: '1.0.0' });

            // Listen for tool input
            app.ontoolinput = (params) => {
              document.getElementById('status').textContent =
                'Received: ' + JSON.stringify(params.input);
            };

            // Send a message to the conversation
            window.sendMessage = async () => {
              await app.sendMessage({
                role: 'user',
                content: [{ type: 'text', text: 'Tell me more about this widget' }]
              });
            };

            // Connect to the host
            await app.connect();
          </script>
        </body>
      </html>
    `,
  },
  encoding: 'text',
});

// 3. Register the resource handler
registerAppResource(
  server,
  'widget_ui',
  widgetUI.resource.uri,
  {},
  async () => ({
    contents: [widgetUI.resource]
  })
);

// 4. Register the tool with _meta.ui.resourceUri
registerAppTool(
  server,
  'show_widget',
  {
    description: 'Show an interactive widget',
    inputSchema: {
      query: z.string().describe('User query'),
    },
    _meta: {
      ui: {
        resourceUri: widgetUI.resource.uri  // Links tool to UI
      }
    }
  },
  async ({ query }) => {
    return {
      content: [{ type: 'text', text: `Processing: ${query}` }]
    };
  }
);

MCP Apps Protocol

The example above uses the @modelcontextprotocol/ext-apps App class for communication. See Protocol Details for the full JSON-RPC API.

Client Side ​

Render tool UIs with AppRenderer:

tsx
import { AppRenderer } from '@mcp-ui/client';

function ToolUI({ client, toolName, toolInput, toolResult }) {
  return (
    <AppRenderer
      client={client}
      toolName={toolName}
      sandbox={{ url: new URL('/sandbox_proxy.html', window.location.origin) }}
      toolInput={toolInput}
      toolResult={toolResult}
      onOpenLink={async ({ url }) => {
        // Validate URL scheme before opening
        if (url.startsWith('https://') || url.startsWith('http://')) {
          window.open(url);
        }
        return { isError: false };
      }}
      onMessage={async (params) => {
        console.log('Message from UI:', params);
        // Handle the message (e.g., send to AI conversation)
        return { isError: false };
      }}
      onError={(error) => console.error('UI error:', error)}
    />
  );
}

Using Without an MCP Client ​

You can use AppRenderer without a full MCP client by providing callbacks:

tsx
<AppRenderer
  toolName="show_widget"
  toolResourceUri="ui://my-server/widget"
  sandbox={{ url: sandboxUrl }}
  onReadResource={async ({ uri }) => {
    // Fetch resource from your backend
    return myBackend.readResource({ uri });
  }}
  onCallTool={async (params) => {
    return myBackend.callTool(params);
  }}
  toolInput={{ query: 'hello' }}
/>

Or provide pre-fetched HTML directly:

tsx
<AppRenderer
  toolName="show_widget"
  sandbox={{ url: sandboxUrl }}
  html={preloadedHtml}  // Skip resource fetching
  toolInput={{ query: 'hello' }}
/>

Resource Types ​

MCP Apps supports several UI content types:

1. HTML Resources ​

Direct HTML content rendered in a sandboxed iframe:

typescript
const htmlResource = await createUIResource({
  uri: 'ui://my-tool/widget',
  content: { type: 'rawHtml', htmlString: '<h1>Hello World</h1>' },
  encoding: 'text',
});

2. External URLs ​

Fetch an external page's HTML and serve it as a UI resource. The SDK fetches the URL's contents server-side and injects a <base> tag so relative paths (CSS, JS, images) resolve correctly:

typescript
const urlResource = await createUIResource({
  uri: 'ui://my-tool/external',
  content: { type: 'externalUrl', iframeUrl: 'https://example.com' },
  encoding: 'text',
});
// The resource now contains the fetched HTML with a <base href="https://example.com"> tag

Declaring UI Extension Support ​

When creating your MCP client, declare UI extension support:

typescript
import { Client } from '@modelcontextprotocol/sdk/client/index.js';
import {
  type ClientCapabilitiesWithExtensions,
  UI_EXTENSION_CAPABILITIES,
} from '@mcp-ui/client';

const capabilities: ClientCapabilitiesWithExtensions = {
  roots: { listChanged: true },
  extensions: UI_EXTENSION_CAPABILITIES,
};

const client = new Client(
  { name: 'my-app', version: '1.0.0' },
  { capabilities }
);

Building from Source ​

Clone and Install ​

bash
git clone https://github.com/idosal/mcp-ui.git
cd mcp-ui
pnpm install

Build All Packages ​

bash
pnpm --filter=!@mcp-ui/docs build

Run Tests ​

bash
pnpm test

Next Steps ​