# openaiTreasureHuntMCP

> Use this tool when you need to build a custom MCP server with widget rendering capabilities in ChatGPT, enabling seamless integration with OpenAI Apps SDK. It solves problems related to creating interactive and dynamic user interfaces within chat applications, allowing for enhanced user engagement and experience. This tool takes in OpenAI API inputs and outputs customized widget renderings, ideal for use cases requiring advanced conversational interfaces.

Canonical page: https://skillsregistry.net/skills/manassankhla-openaitreasurehuntmcp  
JSON: https://api.skillsregistry.net/v1/skills/manassankhla-openaitreasurehuntmcp

## Description

A minimal Next.js application demonstrating how to build an OpenAI Apps SDK compatible MCP server with widget rendering in ChatGPT.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c5sv5f8xc7)
- **Repository:** <https://github.com/manassankhla/openaiTreasureHuntMCP>

## 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": "manassankhla-openaitreasurehuntmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/manassankhla-openaitreasurehuntmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/manassankhla-openaitreasurehuntmcp/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