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chatgpt-apps

Scaffold ChatGPT Apps SDK projects combining MCP server logic and widget UI.

Updated Mar 14, 2026
Search Tags:#development#scaffolding#mcp server#chatgpt#apps sdk#widget ui
One-click install
npx skills add https://github.com/thanhquan3010/hospital-management-system-v3 --skill chatgpt-apps-thanhquan3010
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: chatgpt-apps
Source: https://github.com/thanhquan3010/hospital-management-system-v3/tree/main/.agents/skills/chatgpt-apps
Command: npx skills add https://github.com/thanhquan3010/hospital-management-system-v3 --skill chatgpt-apps-thanhquan3010

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the development of applications that integrate with the ChatGPT Apps SDK, enabling the creation of custom tools and interfaces within the ChatGPT environment.

Core Features & Use Cases

  • Scaffolding: Generates the foundational structure for ChatGPT Apps SDK applications, including MCP server and widget UI components.
  • Refactoring & Troubleshooting: Assists in restructuring existing applications and resolving issues within the SDK framework.
  • Integration: Facilitates the combination of MCP server logic with widget UI, wiring up bridge APIs, and applying SDK metadata.
  • Use Case: Develop a new ChatGPT app that allows users to search a company's internal knowledge base, display results in a custom widget, and enable users to interact with the data through the widget.

Quick Start

Use the chatgpt-apps skill with openai-docs to scaffold a ChatGPT app for searching internal documents with a Python MCP server and React widget.

Frequently Asked Questions about chatgpt-apps

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scaffold a ChatGPT Apps SDK application with an MCP server and widget UI?▼

Scaffolding a ChatGPT Apps SDK application generates the foundational project structure, combining MCP server logic and widget UI components. It wires bridge APIs and applies SDK metadata to establish a functional custom tool interface.

What is the best way to integrate an MCP server with a custom widget UI in ChatGPT?▼

Integrating an MCP server with a custom widget UI involves wiring bridge APIs to connect backend tool logic with frontend interfaces. This facilitates tool design, UI resource registration, and metadata application within the ChatGPT environment.

Can I refactor existing ChatGPT apps to restructure tool logic and UI resources?▼

Yes, you can refactor existing ChatGPT apps to restructure MCP server logic and widget UI components. The process troubleshoots SDK framework issues, updates bridge wiring, and reapplies metadata to maintain functional application architecture.

Does the ChatGPT Apps SDK workflow require consulting documentation before generating code?▼

The ChatGPT Apps SDK workflow prioritizes a docs-first approach by invoking openai-docs or MCP tools before code generation. This ensures tool design, UI resource registration, and bridge wiring align with current SDK specifications.

Why is my ChatGPT app widget UI not communicating with the MCP server during development?▼

Widget UI and MCP server communication issues often stem from improperly wired bridge APIs or incorrect SDK metadata application. Troubleshooting involves validating bridge connections, verifying tool design, and checking UI resource registration.

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