# ChatGPT Interactive Components Examples

> Use this tool when you need to build interactive UI components for ChatGPT, such as authentication flows or shopping cart checkouts, to enhance user experience and streamline complex processes. It provides production-ready examples of MCP servers with features like state management and carousels. Ideal for developers looking to create rich, engaging interfaces for their ChatGPT applications.

Canonical page: https://skillsregistry.net/skills/skyrmionz-chatgpt-mcp-server-interactive-components  
JSON: https://api.skillsregistry.net/v1/skills/skyrmionz-chatgpt-mcp-server-interactive-components

## Description

Provides production-ready examples of MCP servers that demonstrate building rich, interactive UI components for ChatGPT, including authentication flows, product search with carousels, shopping cart checkout, and membership signups with state management.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ecommerce
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/stuh0fyq8o)
- **Repository:** <https://github.com/skyrmionz/chatgpt-mcp-server-interactive-components>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "skyrmionz-chatgpt-mcp-server-interactive-components"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/skyrmionz-chatgpt-mcp-server-interactive-components` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/skyrmionz-chatgpt-mcp-server-interactive-components/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt