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Build an OpenAI Apps SDK compatible MCP server example quickly.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "openaiTreasureHuntMCP" yet — see the docs or source repo.
Create a minimal runnable MCP server example with Next.js, compatible with the OpenAI Apps SDK and able to render a widget in ChatGPT. Provide the project structure, key file code, and startup steps.
A runnable sample project outline with code skeleton, configuration details, and local startup steps.
My widget does not render correctly in ChatGPT after connecting the MCP service. Help me check OpenAI Apps SDK compatibility, routing, response structure, and frontend rendering code, then list debugging steps.
A troubleshooting checklist with likely causes and fixes for widget rendering issues.
Extend this minimal MCP example with a new tool endpoint that returns a list of treasure clues, and design a widget interface to display the results in ChatGPT.
A design for the new tool endpoint and frontend widget, including request/response formats and interaction flow.
Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications.
Bootstrap ChatGPT apps with MCP tools for widget interactions and preference updates.
Connect ChatGPT to an OAuth-backed MCP server and REST endpoints.
Quickly integrate OpenAI image and audio generation through MCP-wrapped APIs.
Build, debug, and manage software tasks with natural language across LLMs.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.