Build Your Chatgpt Ui Developers Openai Com

UI components turn structured tool results from your MCP server into a human-friendly UI. Your components run inside an iframe in ChatGPT, talk to the host via the window.openai API, and render inline with the conversation. This guide describes how to structure your component project, bundle it, and wire it up to your MCP server. You can also check out the examples repository on GitHub. The host injects window.openai with UI-related globals and methods for calling tools, sending follow-ups, and managing layout. The type definitions below are a reference for what the host provides, not something you need to copy into your code.

In your widget, read values directly from window.openai (e.g., window.openai.toolOutput, window.openai.locale) or through small helper hooks like useOpenAiGlobal shown later. window.openai is the bridge between your frontend and ChatGPT. Use this quick reference to first understand how to wire up data, state, and layout concerns before you dive into component scaffolding. The snippet below shows the type definitions for what you read from window.openai (or helper hooks) at runtime. Many Apps SDK projects wrap window.openai access in small hooks so views remain testable. This example hook listens for host openai:set_globals events and lets React components subscribe to a single global value:

This guided tutorial walks you through creating your first ChatGPT app using OpenAI’s Apps SDK. You’ll set up a minimal MCP (Model Context Protocol) server, define a simple tool with JSON Schema, run it locally over HTTPS, render a lightweight UI component inside ChatGPT, add optional OAuth with PKCE,... Before you begin, you’ll need a free OpenAI developer account and access to the Apps SDK preview. As noted in the OpenAI documentation (2025), the Apps SDK is in preview and will expand submission capabilities later in the year; see the overview in the Apps SDK landing page for current status... For orientation, skim the 2025 concept docs on MCP servers in the MCP server concepts and the bridge API in the Apps SDK Reference, which describes the sandboxed iframe and the window.openai bridge. If you’re new to terms like “MCP” and “tools/actions,” you might find this primer helpful: OpenAI AgentKit Glossary: essential terms — it clarifies common agent and tooling vocabulary.

Tip: Use a dedicated project folder and a .env file for secrets. Keep ports consistent and avoid reusing privileged ports. The OpenAI Apps SDK, announced at DevDay 2025, introduces a revolutionary way to extend ChatGPT's capabilities. Built on the Model Context Protocol (MCP) open standard, the Apps SDK enables developers to create apps that integrate seamlessly into ChatGPT conversations. ChatGPT apps are intelligent extensions that appear naturally in conversation. Unlike traditional plugins or webhooks, apps are suggested by ChatGPT at contextually appropriate moments or can be invoked by name.

They respond to natural language and provide interactive interfaces directly within the chat experience. The Apps SDK is built on MCP, an open standard for AI-application integration. This architectural choice provides several advantages: Before building your first app, you'll need to set up your development environment. Start by signing up for an OpenAI developer account at platform.openai.com. Enable Developer Mode in your ChatGPT settings to test apps before publication.

Install the Apps SDK using npm or your preferred package manager. Review the Apps SDK documentation and sample code. Let's create a simple but functional weather app that responds to natural language queries about current conditions and forecasts. The ChatGPT ecosystem has rapidly evolved from a simple AI conversational interface into a sophisticated platform supporting integrated applications. Initially launched in late 2022, ChatGPT has progressively expanded its capabilities – first by adding web access and computational plugins in early 2023, then by introducing user-created “custom GPTs” (akin to smartphone apps) and... By 2025, OpenAI rolled out an Apps SDK and in-chat “apps” that allow third-party services (e.g.

Spotify, Booking.com, Zillow) to be invoked directly within a conversation ([3]) ([4]). This report provides a comprehensive analysis of how developers and organizations can create these ChatGPT-integrated apps. We review the historical context (from basic chatbots to the current platform model), outline the technical framework (including the open Model Context Protocol used by the Apps SDK ([5])), and detail the step-by-step development... We also examine multiple perspectives – developer workflows, business and market implications, user experiences, and ethical considerations (privacy, safety, and trust). Real-world examples illustrate current use cases and benefits: for instance, a user can ask ChatGPT to ”make me a new Spotify playlist” or ”create a Zillow real estate listing”, and ChatGPT will seamlessly call... Data and industry analyses are cited to show the explosive adoption of ChatGPT technologies (e.g.

hundreds of millions of users ([6]) ([7])) and the analogies to smartphone app ecosystems ([1]) ([2]). We conclude by discussing the future trajectory: the continued growth of a ChatGPT “app store,” emerging agent capabilities, and the potential for conversational AI to transform how software is built and used. ChatGPT (Chat-based Generative Pre-trained Transformer) was introduced by OpenAI in November 2022 as a large-language-model-powered chatbot. Its ability to generate fluent natural language answers spurred rapid user adoption. By early 2023, ChatGPT became the world’s fastest-growing consumer application, reaching over 100 million monthly active users ([2]) ([8]). Researchers and enterprises quickly recognized that conversational AI could do more than chat; it could assist with tasks across domains (from coding and writing to planning and analysis).

This led OpenAI to expand ChatGPT from a static conversational model into a platform for interactive tools. In March 2023, OpenAI released an initial plugin system allowing ChatGPT to access updated web information, perform computations, and call third-party services ([9]) ([10]). Over the next two years, OpenAI iteratively built out this platform model. In late 2023, at its first Developer Day, OpenAI unveiled customizable ChatGPT “GPTs” – specialized versions of ChatGPT with tailored data and behaviors – likening them to AI counterparts of smartphone apps ([1]) ([11]). In January 2024, OpenAI launched a GPT Store, effectively a conversational app directory, where developers had already published millions of custom chatbots (reportedly 3 million at launch ([2])). In mid-2025, OpenAI introduced a formal Apps SDK and in-chat apps: a system where developers can build hosted services that run “inside” ChatGPT conversations ([5]) ([3]).

These in-chat apps allow users to perform tasks (like booking tickets, making presentations, querying calendars) simply by asking ChatGPT – the chatbot automatically invokes the appropriate background service. In effect, ChatGPT is becoming a “conversational app store,” embedding useful tools into its interface ([3]) ([1]). This report systematically explores how these ChatGPT apps are created: from planning and design to development and deployment. We also analyze market data, user surveys, and expert commentary to understand the current state and future implications of this emerging technology. ChatGPT’s path from a standalone chatbot to a full-fledged platform has unfolded rapidly. Within weeks of ChatGPT’s 2022 launch, users and developers began envisioning extensions of its capabilities.

In early 2023, OpenAI introduced plugins – small add-ons enabling ChatGPT to retrieve live web data, perform computations, or interact with external APIs ([9]) ([10]). The official announcement credited plugins as a “major milestone” that turned ChatGPT into an ecosystem for third-party functionality ([12]). The first partners included travel and shopping services (Expedia, Kayak, Instacart, etc.) and productivity tools (Slack, WolframAlpha, Zapier) ([13]) ([14]). OpenAI simultaneously provided developer documentation so others could build plugins, gradually rolling out access through a waitlist. The plugin system set the stage, but OpenAI envisioned a broader expansion. At Developer Day 2023, they announced “GPTs” – chatbots customized by developers for specific tasks or domains.

Axios reported that OpenAI described GPTs as “the AI counterpart to smartphone apps,” promising a marketplace where users could try or even buy these custom chatbots ([1]).Indeed, early previews showed how companies could create... A GPT Store was promised to launch soon. This store debuted in January 2024, and OpenAI noted that ~3 million custom GPTs had already been created by developers and hobbyists ([2]). The store categorized these GPTs (e.g. writing, programming, lifestyle) and made them available to ChatGPT paid subscribers. Initially, OpenAI did not charge developers for listing GPTs; monetization and revenue-sharing models were still being worked out in early 2024 ([2]) ([15]).

Thanks to OpenAI’s new SDK and the Model Context Protocol (MCP), developers can now build and test interactive apps in under a day. Similar AI-assisted development tools have demonstrated 50–60% time savings compared to traditional workflows. In this guide, you’ll learn how to build app for ChatGPT with the Apps SDK. You’ll discover how to set up your environment, define tools using JSON Schema, add simple UI components, and test your app directly in ChatGPT. The ChatGPT Apps SDK is a new toolkit from OpenAI. It helps developers build apps that live inside ChatGPT.

Instead of switching between websites or tools, users can now do everything directly in chat. The SDK uses something called the Model Context Protocol (MCP). This protocol tells ChatGPT how to talk to your app, what data it needs, what tools it can use, and how to show results. Before starting, create a free OpenAI Developer Account and confirm access to the Apps SDK preview. Some features are still in early release as of 2025. Check the Apps SDK Overview for setup details and updates.

9:13 am October 10, 2025 By Julian Horsey What if you could transform ChatGPT from a conversational tool into a fully interactive platform, capable of running custom apps tailored to your needs? Thanks to OpenAI’s Apps SDK and Model Context Protocol (MCP), this is no longer a futuristic idea, it’s a reality. Imagine embedding a sleek to-do list widget directly into ChatGPT, where users can add, organize, and complete tasks in real time, all without leaving the chat interface. This isn’t just about convenience; it’s about reimagining how we interact with AI. Whether you’re a seasoned developer or just curious about the possibilities, the tools now exist to build apps that feel seamless, dynamic, and deeply integrated into ChatGPT’s ecosystem.

In this guide Gadget, takes you through how to harness the power of OpenAI’s Apps SDK and MCP to create your own app inside ChatGPT 5. From setting up a serverless infrastructure to implementing real-time updates with optimistic UI techniques, this guide will walk you through the essential steps to design, deploy, and optimize an app that feels as intuitive... Along the way, you’ll explore how tools like the Gadget platform, PostgreSQL databases, and Fastify backends simplify the process, allowing you to focus on creativity rather than infrastructure. Ready to see how far you can push the boundaries of what ChatGPT can do? Let’s explore the possibilities together. The OpenAI Apps SDK and MCP are essential components for transforming ChatGPT into a platform for interactive applications.

Each plays a distinct role in allowing seamless integration and functionality: Together, these tools provide the foundation for creating apps that are both functional and intuitive, enhancing the overall user experience within ChatGPT. * All product/brand names, logos, and trademarks are property of their respective owners. Artificial intelligence has taken a major leap forward, and at the forefront of this revolution is the ability to build intelligent, conversational chatbots using large language models like GPT-4. If you’ve ever interacted with ChatGPT, you’ve already experienced the magic of OpenAI’s GPT models. But what if you could create your own chatbot—customized for your needs, branded to your style, and ready to serve users 24/7?

People Also Search

• Build your ChatGPT UI - developers.openai.com
• Build Your First App for ChatGPT with the Apps SDK (Step‑by‑Step)
• Apps SDK Quick Start: Build Your ChatGPT App Today
• How to Create ChatGPT Apps: A Developer's Guide (2025)
• How to Build App for ChatGPT with the Apps SDK and Monetize It?
• How to Build Custom Apps in ChatGPT - Geeky Gadgets
• Build Your First GPT-4 Chatbot with OpenAI API - Step-by-Step Guide
• Build Your Own ChatGPT UI - Toolify
• Build for ChatGPT - developers.openai.com
• Build Your Own Custom ChatGPT | Beginner's Guide to Conversational AI