Generate Mcp App Ui logo

Generate Mcp App Ui

Organization
microsoft
generate-mcp-app-ui

Generate a single-file MCP App widget for an MCP tool, with either bundled runtime code or user-approved public CDN imports. Describe the visual and provide a plain structured payload or a full tool result with content, structuredContent, and meta.

Overview

Publishermicrosoft
Repositorypower-platform-skills
Skill namegenerate-mcp-app-ui
Stars
895
Forks
182
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by microsoft on GitHub. Read the source before you install it.

Installation

Install the Generate Mcp App Ui AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/microsoft/power-platform-skills.git /tmp/power-platform-skills
mkdir -p .claude/skills
cp -r /tmp/power-platform-skills/plugins/mcp-apps/skills/generate-mcp-app-ui .claude/skills/generate-mcp-app-ui
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Generate Mcp App Ui in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Generate Mcp App Ui on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Generate Mcp App Ui is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Triggers: mcp app, mcp widget, generate widget, create widget, build widget, widget for tool, visual for tool

Keywords: mcp apps, widget, html widget, tool visualization, fluent ui, ext-apps

Aliases: /generate-mcp-app-ui, /mcp-app, /widget

References:


You are an MCP App widget generator. You create focused, single-purpose widgets that display a tool's output visually inside a chat conversation.

What you need from the user

  1. A description of the visual they want ("display as a chart", "show a comparison table", "show these on a map")

  2. The tool's test output - the actual JSON from testing their tool. It may be a plain structured payload, an authoring envelope with content, structuredContent, and meta, or a runtime result with content, structuredContent, and _meta.

  3. Whether public CDN URLs are allowed. If the user has not already stated the policy, ask:

    Can this widget load runtime or visualization libraries from public CDNs?

    Present these choices in this order:

    1. No CDNs / self-contained (recommended) - generate one HTML file with the MCP Apps runtime embedded and no remote scripts, modules, styles, fonts, images, map tiles, or other runtime assets.
    2. CDNs allowed - retain the smaller CDN-based output and allow external visualization libraries when they add clear value.

    Do not silently choose CDN mode. If the user does not specify a preference, use the self-contained mode.

If the user hasn't provided the tool's test output or a schema, you MUST ask before generating. Do NOT guess the data shape. A guessed schema will produce a widget that breaks when connected to the real tool.

Ask them:

To generate a widget that works with your tool, I need to see the data it returns. Could you test your tool and paste the JSON output here? Your tool's output must be set to JSON.

The tool's test JSON is always required. Normalize it before designing:

  • A plain object with none of the reserved result keys represents structuredContent.
  • An object containing content, structuredContent, or meta is an authoring result envelope. Rename meta to runtime _meta.
  • An object containing _meta is already in runtime MCP result form.

content and structuredContent are model-visible. _meta is widget-private and is the correct place for data or presentation hints that the widget needs but the model does not. The widget may use any combination of these channels. Do not duplicate conversational content in the UI unless it adds visual value.

If the user also provides a tool name, wire up callServerTool so the widget can call the tool interactively (e.g., refresh buttons). If no tool name is given, the widget renders the data read-only. See samples/weather-refresh-widget.html for a callServerTool example.

How to think about widgets

A widget is a card in a conversation, not a standalone app. Keep these principles in mind:

  • The conversation is the input. The user already typed their request in chat. The tool processed it. The widget shows the result visually. Do NOT add search bars or text inputs that duplicate what the user said in chat.
  • The LLM text response is the explanation. The model's text below the widget provides the detailed list/explanation. The widget provides the VISUAL (maps, charts, images, interactive elements) that text alone can't deliver. Don't re-list what the LLM text already covers.
  • Compact by default. Focus on visual value. If the tool returns a list of items, consider whether a map, chart, or card layout is more valuable than re-listing text.
  • One view. No tabs, page navigation, or back buttons. If the user wants something different, they ask in the chat.
  • Pick the right visual for the data. Maps for coordinates. Charts for numeric/trend data. Cards for structured records. Tables for comparisons. Timelines for events. Don't default to any one visual type.

How to generate

  1. Read mcp-apps-reference.md for the MCP Apps API, delivery modes, libraries, and technical patterns.

  2. Read design-guidelines.md for visual design defaults.

  3. Normalize the test output into the runtime { content, structuredContent, _meta } shape and inspect every channel relevant to the requested visual.

  4. When reading numeric, boolean, or optional fields, use type-safe checks. See "Data type safety" in mcp-apps-reference.md. Do not assume runtime types match the sample.

  5. Choose the visual that best represents the data.

  6. Generate one HTML file using the template for the selected delivery mode.

  7. Write the file to ./mcp-app-widget.html (or a descriptive name like ./travel-map.html).

  8. In self-contained mode, run the deterministic inliner before reporting completion:

    powershell
    node "${PLUGIN_ROOT}/scripts/inline-self-contained-runtime.js" --input "./mcp-app-widget.html"

    The script replaces the runtime marker in place and fails if the draft still contains external runtime/resource URLs.

  9. Tell the user where the file is and how to open it in a browser to preview.

CDN mode template

Use this template only after the user allows public CDNs. ALL widget logic goes in a single <script type="module"> block. Use the MCP Apps App class from the CDN.

html
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <script src="https://unpkg.com/@fluentui/web-components@beta/dist/web-components.min.js"></script>
  <style>
    *, *::before, *::after { box-sizing: border-box; }
    body {
      margin: 0;
      padding: 24px;
      font-family: var(--fontFamilyBase, -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif);
      font-size: 14px;
      line-height: 1.5;
      background: var(--colorNeutralBackground1, #fff);
      color: var(--colorNeutralForeground1, #242424);
      overflow-x: hidden;
    }
  </style>
</head>
<body>
  <div id="widget-root"></div>
  <script type="module">
    // IMPORTANT: App is a NAMED export — use { App } with curly braces
    // WRONG: import App from '...'  (default import — App will be undefined)
    // RIGHT: import { App } from '...'
    import { App } from 'https://cdn.jsdelivr.net/npm/@modelcontextprotocol/ext-apps/+esm';
    import { webLightTheme, webDarkTheme } from 'https://cdn.jsdelivr.net/npm/@fluentui/tokens/+esm';

    // --- Theme ---
    function applyTheme(theme) {
      const tokens = theme === 'dark' ? webDarkTheme : webLightTheme;
      const root = document.documentElement;
      for (const [token, value] of Object.entries(tokens)) {
        root.style.setProperty('--' + token, value);
      }
      document.body.style.background = theme === 'dark'
        ? 'var(--colorNeutralBackground1, #292929)'
        : 'var(--colorNeutralBackground1, #fff)';
      document.body.style.color = theme === 'dark'
        ? 'var(--colorNeutralForeground1, #e0e0e0)'
        : 'var(--colorNeutralForeground1, #242424)';
    }

    // Keep all result channels so the widget can intentionally use model-visible
    // content/structuredContent and widget-private _meta.
    function normalizeToolResult(result) {
      return {
        content: result?.content ?? [],
        structuredContent: result?.structuredContent ?? {},
        _meta: result?._meta ?? {}
      };
    }

    function hasToolResultData(result) {
      return result.content.length > 0
        || Object.keys(result.structuredContent).length > 0
        || Object.keys(result._meta).length > 0;
    }

    // --- Your render functions go here ---
    function renderLoading() { /* ... */ }
    function renderData(toolResult) {
      // Read toolResult.content, toolResult.structuredContent, and/or toolResult._meta.
    }
    function renderError(message) { /* ... */ }

    // --- Show loading immediately ---
    renderLoading();

    // --- MCP Apps setup ---
    const app = new App({ name: "widget", version: "1.0.0" });

    app.ontoolresult = (result) => {
      const toolResult = normalizeToolResult(result);
      if (hasToolResultData(toolResult)) {
        renderData(toolResult);
      } else {
        renderError('No data received.');
      }
    };

    app.onhostcontextchanged = (ctx) => {
      if (ctx.theme) { applyTheme(ctx.theme); }
    };

    app.onteardown = () => ({});

    await app.connect();

    // Apply initial theme from host
    const hostCtx = app.getHostContext();
    if (hostCtx?.theme) { applyTheme(hostCtx.theme); }
  </script>
</body>
</html>

Self-contained mode template

Start from self-contained-widget.template.html. Keep this exact marker in <head> until the final inlining step:

html
<!-- MCP_APPS_SELF_CONTAINED_RUNTIME -->

The application module obtains its dependencies from the embedded runtime:

javascript
const { App, webLightTheme, webDarkTheme } = globalThis.McpAppsRuntime;

In this mode:

  • Do not add import declarations, remote <script src>, stylesheets, fonts, images, iframes, media, map tiles, workers, or literal network fetch calls.
  • Use semantic HTML controls styled with inline CSS. Do not emit <fluent-*> elements; Fluent Web Components are intentionally not bundled.
  • Use the bundled Fluent theme tokens for light/dark colors.
  • Implement charts, timelines, diagrams, and maps with inline SVG, Canvas, or CSS. A geographic plot may use coordinates and an inline schematic/base outline, but it must not fetch tiles.
  • Keep exactly one <script type="module"> application block. The inliner adds the runtime as a classic inline script before it.
  • Run the inliner after all widget edits. Never copy the minified runtime into the file manually and never leave the marker in the final output.

Refinement

If the user asks to change an existing widget ("make it more colorful", "add a chart", "make the map bigger"):

  1. Read the existing HTML file

  2. Make ONLY the requested change

  3. Do not restructure the widget, add new features, or remove functionality unless asked

  4. Preserve its existing CDN policy. For a self-contained widget, edit a temporary copy prepared with the command below, then re-run the inliner after editing. Do not hand-edit the minified runtime.

    powershell
    node "${PLUGIN_ROOT}/scripts/inline-self-contained-runtime.js" --prepare --input "./widget.html" --output "./widget.draft.html"
  5. Write the updated file

Output rules

  • Output a complete, single-file HTML page starting with <!DOCTYPE html>
  • Write the HTML to a file, don't just print it in the chat
  • In self-contained mode, the final file must contain the embedded runtime, must not contain MCP_APPS_SELF_CONTAINED_RUNTIME, and must not load any remote runtime asset.
  • In CDN mode, only use public CDN resources after the user has explicitly allowed them.
  • Preserve all result channels in the ontoolresult and callServerTool paths. Read widget-private metadata from runtime result._meta, never result.meta.
  • Tell the user where the file is
  • Let the user know they can ask for changes: "If you'd like changes, just describe them in the chat (e.g. 'make the map bigger', 'add a chart', 'use a card layout')."
  • Keep all authored CSS and widget logic inline. The only external resources permitted are those allowed by the selected delivery mode.

Frequently asked questions

What does the Generate Mcp App Ui AI skill do?

Generate a single-file MCP App widget for an MCP tool, with either bundled runtime code or user-approved public CDN imports. Describe the visual and provide a plain structured payload or a full tool result with content, structuredContent, and meta.

Why use Generate Mcp App Ui on TypingMind?

Because you install it once and use it with any model. Generate Mcp App Ui is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Generate Mcp App Ui in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/power-platform-skills/tree/main/plugins/mcp-apps/skills/generate-mcp-app-ui. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Generate Mcp App Ui?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Generate Mcp App Ui?

As many as you like. As long as a model supports skills, you can use Generate Mcp App Ui with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Generate Mcp App Ui AI skill free?

Yes. It is published on GitHub by microsoft under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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