generative-ui-playground

by CopilotKitVerified

Interact with all three types of generative UI, all in one interface

124
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24
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HTML
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8/23/2026
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

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Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/CopilotKit/generative-ui-playground

Getting Started

Guides for using skills like generative-ui-playground.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

Generative UI Demo

https://github.com/user-attachments/assets/79ead351-f63c-4119-9d28-9d604e7f8876

A generative UI playground showcasing the three types for building AI-powered user interfaces with CopilotKit.

Demo Overview

This demo demonstrates how different types of generative UI can be used to create rich, interactive AI experiences:

SpecDescriptionUse Case
Static GenUIPre-built React components rendered by frontend hooksWeather cards, stock displays, task approvals
MCP AppsHTML/JS apps served by MCP servers in sandboxed iframesFlight booking, hotel search, trading simulator
A2UIAgent-composed declarative JSON UI rendered dynamicallyRestaurant finder, booking forms

CopilotKit Features Used

  • CopilotKitProvider - Main provider with agent switching
  • CopilotSidebar - Chat interface component
  • useRenderToolCall - Display-only tool rendering (WeatherCard, StockCard)
  • useHumanInTheLoop - Interactive approval flows (TaskApprovalCard)
  • A2UIRenderer - Renders A2UI declarative JSON from agent responses
  • MCPAppsMiddleware - Bridges MCP server tools with UI resources
  • BasicAgent - TypeScript agent for Static GenUI + MCP Apps
  • HttpAgent - Connects to Python A2A backend for A2UI

Setup

Prerequisites

  • Node.js 18+
  • Python 3.11+
  • OpenAI API key

Installation

# Clone and install dependencies
cd ui-protocols-demo
npm install

# Install MCP server dependencies
cd mcp-server
npm install
cd ..

# Install Python A2A agent
cd a2a-agent
pip install -e .
cd ..

Environment Variables

Create a .env file:

OPENAI_API_KEY=sk-your-key-here
MCP_SERVER_URL=http://localhost:3001/mcp
A2A_AGENT_URL=http://localhost:10002

Running the Demo

Start all three services:

# Terminal 1: MCP Server (port 3001)
cd mcp-server && npm run dev

# Terminal 2: Python A2A Agent (port 10002)
cd a2a-agent && python -m agent

# Terminal 3: Next.js Frontend (port 3000)
npm run dev

Open http://localhost:3000 to see the demo.

Usage

Static + MCP Apps Mode

Click the "Static + MCP Apps" tab to use:

  • "What's the weather in Tokyo?" → Weather card
  • "Get stock price for AAPL" → Stock card with sparkline
  • "Open the calculator" → Interactive calculator app
  • "Search for flights to Paris" → Flight booking workflow

A2UI Mode

Click the "A2UI" tab to use:

  • "Find Italian restaurants nearby" → Restaurant list with booking
  • "Show me Chinese food options" → Filtered results
  • "Book a table for 4" → Interactive booking form

Architecture

Frontend (Next.js) ─────────────────────────────────────────────────────
├── Protocol tabs switch between agents
├── Static GenUI: useRenderToolCall, useHumanInTheLoop
├── MCP Apps: Automatic iframe rendering via middleware events
└── A2UI: A2UIRenderer for declarative JSON
                    │
          ┌─────────┴─────────┐
          ▼                   ▼
   "default" Agent      "a2ui" Agent
   BasicAgent + MCP     HttpAgent → Python
   Port 3001            Port 10002

Project Structure

ui-protocols-demo/
├── src/app/              # Next.js frontend
│   ├── page.tsx          # Main page with agent switching
│   ├── theme.ts          # A2UI theme configuration
│   ├── api/copilotkit/   # CopilotKit API route
│   └── components/       # React components
├── mcp-server/           # MCP Apps server
│   ├── server.ts         # Tool registrations
│   └── apps/             # HTML app files
└── a2a-agent/            # Python A2A agent
    └── agent/            # Agent modules

Learn More


Note: This project has been consolidated into the CopilotKit monorepo. The latest version lives at examples/showcases/generative-ui-playground. Please open issues and pull requests in the main CopilotKit repository.

Frequently Asked Questions

What is generative-ui-playground?

generative-ui-playground is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by CopilotKit. Interact with all three types of generative UI, all in one interface. It has 124 GitHub stars.

Is generative-ui-playground safe to use?

Yes. generative-ui-playground passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install generative-ui-playground?

Clone the repository with "git clone https://github.com/CopilotKit/generative-ui-playground" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is generative-ui-playground written in?

generative-ui-playground is primarily written in HTML. It is open-source under CopilotKit on GitHub, so you can review or fork the full source.

Are there alternatives to generative-ui-playground?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh generative-ui-playground against similar tools.

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