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generate-mcp-app-ui

Generate an MCP App widget (self-contained HTML) for an MCP tool. Describe the visual you want and paste your tool's test output. Use when user asks to create an MCP App, widget, or visual for a tool.

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Precio sin confirmar★ 825 Estrellas de GitHubRegistro actualizado · 5 sept 2026agent-skill

Resumen

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

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:

MCP Apps API and technical patterns: mcp-apps-reference.md
Visual design defaults and theme tokens: design-guidelines.md

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

A description of the visual they want ("display as a chart", "show a comparison table", "show these on a map")
The tool's test output - the actual JSON from testing their tool. They can paste it directly.

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. 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

Read mcp-apps-reference.md for the MCP Apps API, CDN libraries, and technical patterns.
Read design-guidelines.md for visual design defaults.
Look at the tool's test output to understand the data shape.
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.
Choose the visual that best represents the data.
Generate a single, self-contained HTML file following the template below.
Write the file to ./mcp-app-widget.html (or a descriptive name like ./travel-map.html).
Tell the user where the file is and how to open it in a browser to preview.

HTML template

ALL widget logic goes in a single <script type="module"> block. Use the MCP Apps App class from the CDN.

<!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)';
    }

    // --- Your render functions go here ---
    function renderLoading() { /* ... */ }
    function renderData(data) { /* ... */ }
    function renderError(message) { /* ... */ }

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

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

    app.ontoolresult = (result) => {
      // IMPORTANT: The tool data is ALWAYS in result.structuredContent
      // NOT result.data, NOT result itself, NOT result.content
      const data = result.structuredContent;
      if (data) {
        renderData(data);
      } 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>

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

Read the existing HTML file
Make ONLY the requested change
Do not restructure the widget, add new features, or remove functionality unless asked
Write the updated file

Output rules

Output a complete, self-contained HTML page starting with <!DOCTYPE html>
Write the HTML to a file, don't just print it in the chat
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 the file self-contained (all CSS inline, all JS in the module block, CDN imports for libraries)

Ver fuente ↗

Metadatos del archivo

name: generate-mcp-app-ui
version: 1.0.0
description: Generate an MCP App widget (self-contained HTML) for an MCP tool. Describe the visual you want and paste your tool's test output. Use when user asks to create an MCP App, widget, or visual for a tool.
author: Microsoft Corporation
argument-hint: <description of what the widget should display>
user-invocable: true
allowed-tools: Read, Write, Edit, Bash, Glob, Grep, AskUserQuestion

Ver texto original

---
name: generate-mcp-app-ui
version: 1.0.0
description: Generate an MCP App widget (self-contained HTML) for an MCP tool. Describe the visual you want and paste your tool's test output. Use when user asks to create an MCP App, widget, or visual for a tool.
author: Microsoft Corporation
argument-hint: <description of what the widget should display>
user-invocable: true
allowed-tools: Read, Write, Edit, Bash, Glob, Grep, AskUserQuestion
---

**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:**
- MCP Apps API and technical patterns: [mcp-apps-reference.md](../../references/mcp-apps-reference.md)
- Visual design defaults and theme tokens: [design-guidelines.md](../../references/design-guidelines.md)

---

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. They can paste it directly.

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. 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](../../references/mcp-apps-reference.md) for the MCP Apps API, CDN libraries, and technical patterns.
2. Read [design-guidelines.md](../../references/design-guidelines.md) for visual design defaults.
3. Look at the tool's test output to understand the data shape.
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 a single, self-contained HTML file following the template below.
7. Write the file to `./mcp-app-widget.html` (or a descriptive name like `./travel-map.html`).
8. Tell the user where the file is and how to open it in a browser to preview.

## HTML template

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)';
    }

    // --- Your render functions go here ---
    function renderLoading() { /* ... */ }
    function renderData(data) { /* ... */ }
    function renderError(message) { /* ... */ }

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

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

    app.ontoolresult = (result) => {
      // IMPORTANT: The tool data is ALWAYS in result.structuredContent
      // NOT result.data, NOT result itself, NOT result.content
      const data = result.structuredContent;
      if (data) {
        renderData(data);
      } 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>
```

## 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. Write the updated file

## Output rules

- Output a complete, self-contained HTML page starting with `<!DOCTYPE html>`
- Write the HTML to a file, don't just print it in the chat
- 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 the file self-contained (all CSS inline, all JS in the module block, CDN imports for libraries)

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Licencia: MIT
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Licencia: MIT

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Fuente y notas de uso

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Repositorio fuente: microsoft/power-platform-skills
Licencia: MIT
Versión: 1.0.0
Último push de GitHub: 5 sept 2026
Registro actualizado: 5 sept 2026
Ruta de instrucciones: plugins/mcp-apps/skills/generate-mcp-app-ui/SKILL.md @ 5a325ffa030c

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

73/100

Sólido

Confianza

66/100

Solo sandbox

Auditoría

78/100

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Permission surface: secrets or environment access, shell or command execution

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      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "design-creative",
      "agent-skill"
    ],
    "known_risks": [
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 78,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 73,
    "label": "Strong"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "1mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Quality score needs review",
    "Permission surface needs review: secrets or environment access, shell or command execution"
  ],
  "agent_contract": {
    "task_input": "Use generate-mcp-app-ui in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 74/100 Strong shortlist",
      "Audit: 78/100 Needs review",
      "Safety: 30/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "microsoft-generate-mcp-app-ui (generate-mcp-app-ui)",
      "install_command": "npx skills add microsoft/power-platform-skills --skill generate-mcp-app-ui",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "microsoft-generate-mcp-app-ui",
      "task": "Use generate-mcp-app-ui in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/microsoft-generate-mcp-app-ui",
    "api": "https://www.openagentskill.com/api/agent/skills/microsoft-generate-mcp-app-ui",
    "audit": "https://www.openagentskill.com/skills/microsoft-generate-mcp-app-ui/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=microsoft-generate-mcp-app-ui&task=Use%20generate-mcp-app-ui%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20generate-mcp-app-ui%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20generate-mcp-app-ui%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/microsoft-generate-mcp-app-ui/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/microsoft-generate-mcp-app-ui"
  }
}

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Creador: Microsoft Corporation
Fuente: microsoft/power-platform-skills
Indexado por: Índice comunitario de OpenAgentSkill

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