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MCP server · Developer Tools

Generative UI Playground

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

63Good

Scored yesterday · breakdown

About Generative UI Playground

Generative UI Playground is an MCP server published by CopilotKit in the Developer Tools category: interact with all three types of generative UI, all in one interface.

The repository has 129 stars and 27 forks, with the last commit 11 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/CopilotKit/generative-ui-playground

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 6 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • !License declaredNo license file. Legally you have no right to use it in a product.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • !No dynamic code executionSource scan found eval or shell execution. Review how tool inputs reach it before granting credentials.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

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:

Spec Description Use Case
Static GenUI Pre-built React components rendered by frontend hooks Weather cards, stock displays, task approvals
MCP Apps HTML/JS apps served by MCP servers in sandboxed iframes Flight booking, hotel search, trading simulator
A2UI Agent-composed declarative JSON UI rendered dynamically Restaurant 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.

README fetched from the repository 6 hours ago. The original is authoritative.

Questions

About Generative UI Playground

How do I install Generative UI Playground?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Generative UI Playground safe to use with an AI agent?

Its trust score is 63 out of 100 (good). It passes 3 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Generative UI Playground still maintained?

Yes — the last commit was 11 days ago. The repository has 129 stars and 27 forks and 2 open issues.