Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@nuwax-openui-mcp create a dashboard with sales trends and a summary card"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
pnpm workspace containing the Nuwax OpenUI MCP server and its frozen renderer runtime.
Package | Path | Description |
| Lean stdio MCP server: OpenUI authoring guidance, validation, and durable artifact generation. Does not load the renderer at runtime. | |
| Frozen, self-contained OpenUI renderer bundle ( |
See packages/server/README.md for the MCP server
contract, installation, and artifact format.
Related MCP server: publish-artifacts-mcp
pnpm install
pnpm verify # format + lint + typecheck + test + build (both packages)The server keeps its runtime lean: the component JSON Schema and authoring
reference are precomputed at build time (pnpm gen:openui →
packages/server/src/generated/) and read as static files, so the stdio process
never imports @openuidev/react-ui or react-dom.
pnpm publish --filter @nuwax-ai/openui-mcp
pnpm publish --filter @nuwax-ai/openui-runtimeUnclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Create sandboxed public-unlisted or access-key-protected HTML previews through a remote MCP server.
Build, deploy, and operate hosted web apps on VibeKit (vibekit.bot) from any MCP client.
Manage SRG+ hubs, channels, content, assets, users, and workspaces from any MCP-aware AI agent.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/nuwax-ai/nuwax-openui-mcp'
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