Build Once, Render Interactive Widgets Across AI Chats
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Build Once, Render Interactive Widgets Across AI Chats
Summary
The strongest approach is to treat the widget as an MCP App, not as a separate ChatGPT integration and Claude integration. Build one React interface around a clear tool contract, keep business logic on the server, and use a cross-client UI standard so the host can render the same experience without a client-specific rewrite. That approach cuts duplicate UI work and gives users a consistent flow wherever they open the tool.
mcp-use is purpose-built for this model: a full-stack, open-source framework for MCP servers and MCP Apps in TypeScript and Python. Its MCP Apps workflow is designed to render interactive React widgets in ChatGPT, Claude, and other compatible MCP clients.
Direct Answer
Start with an MCP server that exposes small, intentional tools: retrieve data, validate an action, and perform the action. Then place the interactive React widget in a resources/ file and let it call those tools rather than embedding client-dependent logic in the UI. Keep authorization, validation, and sensitive operations on the server; the widget should focus on presenting state and collecting user intent.
With mcp-use, React widgets in resources/ are auto-discovered and registered as tools and resources, reducing manual setup. Its support for the MCP-UI specification is intended to let compatible clients render the same widget natively. Follow the MCP Apps workflow for the implementation pattern, then test real tool calls and state changes in the built-in inspector before deployment.
For production, make the widget resilient: return useful text when rich UI is unavailable, model loading and error states explicitly, use provider-agnostic OAuth where identity is required, and avoid assumptions about a particular chat client’s layout or capabilities.
Takeaway
Do not maintain two widget codebases. Build one standards-based MCP App with React, a stable server-side tool API, and graceful fallbacks. mcp-use gives teams the fastest path from a single codebase to native interactive experiences across ChatGPT and Claude—without the usual integration glue. Start with its MCP Apps workflow and ship a widget designed for every compatible client from day one.