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Apps SDK Preview: Plan, Build, and Deploy ChatGPT Apps

OpenAIModel Context ProtocolDeveloper ToolingPlatform Policy
Added Oct 6, 2025
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Article: PositiveCommunity: NegativeDivisive
Apps SDK Preview: Plan, Build, and Deploy ChatGPT Apps

OpenAI’s Apps SDK page outlines how to design, build, and deploy ChatGPT-native apps. It stresses quality via design and developer guidelines and provides a clear path: research use cases, set up an MCP server, and deploy. Supporting guides help with metadata optimization, security and privacy, and troubleshooting, with the SDK currently in preview.

Key Points

  • Apps SDK is available in preview now for building and testing; app submissions will open later this year.
  • Quality is central: follow App design guidelines and App developer guidelines to align with ChatGPT-native UX, safety, and policy standards.
  • The recommended workflow is Plan (research use cases), Build (set up an MCP server), and Deploy (ship your app).
  • Guides cover Optimize Metadata, Security & Privacy, and Troubleshooting to improve discovery, safeguard users, and resolve issues.
  • Resources and references are provided to support end-to-end development and integration with ChatGPT.

Sentiment

The Hacker News community is predominantly skeptical of the Apps SDK. The majority of commenters question whether it will succeed given the GPT Store precedent, express concern about platform risk, and debate whether chat interfaces genuinely improve on existing UX patterns. While there are defenders who appreciate the technical approach and open MCP foundation, they are outnumbered by critics wary of OpenAI's motives and track record.

In Agreement

  • MCP is an open specification rather than a proprietary format, meaning apps aren't inherently ChatGPT-specific and could work with any MCP-compatible client
  • Natural language interfaces provide more flexibility and nuance than traditional structured UIs for certain domains
  • Broker-style businesses like OpenTable can add genuine value through ChatGPT integrations, creating novel user workflows
  • The technical primitives (tool discovery, structured content return, embedded UI resources) address real integration problems
  • ChatGPT's ad-free experience makes it an attractive destination for users, creating natural distribution for apps

Opposed

  • This is the GPT Store 2.0 and will fail the same way — OpenAI deprecated and relaunched in just 23 months
  • OpenAI is asking developers to build their platform while retaining the power to copy successful apps, following the Amazon Basics model
  • Developer fatigue from constant churn of new SDKs, frameworks, and paradigms makes this hard to take seriously
  • Chat interfaces fundamentally lack discoverability compared to well-designed traditional UIs
  • MCP adds unnecessary complexity when LLMs can already call existing APIs directly
  • OpenAI is abandoning its AGI mission to become a platform company chasing Google's revenue model
  • Platform risk is severe given OpenAI's track record of killing features