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Build MCP-based tool calling and widget rendering with Next.js and Apps SDK.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "aijewelleryMCP" yet — see the docs or source repo.
Using Next.js and the OpenAI Apps SDK, create a minimal runnable MCP example that lets ChatGPT call a tool for querying jewelry product information and returns a renderable widget UI. Include the project structure, key code, and run steps.
A runnable MCP integration example with project structure, core code, and setup instructions.
Design a frontend widget for jewelry recommendations returned through MCP, implemented with Next.js. The widget should show product image, material, price, recommendation reason, and purchase link, and explain how ChatGPT can render it correctly.
A widget design for product recommendations with implementation code and rendering integration guidance.
After integrating MCP into my Next.js app, ChatGPT cannot correctly call tools or display widgets. Please provide a troubleshooting checklist covering tool registration, protocol response format, Apps SDK configuration, frontend rendering, and log-based debugging.
A clear troubleshooting checklist to quickly identify tool-calling and widget-rendering issues.
Chat with AI to retrieve documents and trigger MCP-powered tools.
Build a JWT-secured MCP server and AI agent for tool calling.
Build an OpenAI Apps SDK compatible MCP server example quickly.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Bootstrap ChatGPT apps with MCP tools for widget interactions and preference updates.
Generate embeddable MCP App widgets from tool output and visual requirements.