OpenGenUI MCP
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., "@OpenGenUI MCPshow me a colorful animated pie chart"
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.
OpenGenUI MCP
An MCP Apps-capable MCP server that turns a natural-language description into an interactive HTML/JS UI component, rendered in any compliant MCP host (Microsoft 365 Copilot declarative agents, Claude Desktop, VS Code, basic-host).
The server exposes a single tool — generate_ui_component(description) — that drives the OpenGenerativeUI LangGraph deep agent over the AG-UI protocol, captures the agent's widgetRenderer tool call, and serves the result as a sandboxed MCP App view.
This is a tech demo, not an enterprise-ready product. It deliberately ships with:
Maximally permissive CSP in the rendered iframe (
'unsafe-inline','unsafe-eval', several CDN domains) so the agent's arbitrary HTML/JS executes without friction.No authentication on the HTTP transport — open to anything that can reach
localhost:3101.No rate limiting, no input validation, no audit trail beyond per-call debug logs.
Execution of unaudited LLM-generated JavaScript in the user's host (sandboxed in an iframe, but still arbitrary code).
Do not deploy this as-is anywhere reachable from a network you don't control. Hardening for production would need (at minimum) authentication, a narrow CSP scoped to specific CDNs with 'unsafe-eval' dropped, supply-chain review, and a careful look at how agent output flows into the host.
See spec.md for the full design, decisions log, and architecture diagram.
Prerequisites
Node.js 20+
The OpenGenerativeUI agent running at
http://localhost:8123/. From a clone ofCopilotKit/OpenGenerativeUI:make dev-agentThe agent requires an
OPENAI_API_KEY(or equivalent for whichever provider you configure) inapps/agent/.env. Strong models only — weak models produce broken visualizations (the agent's own README spells out which models are supported).
Install, build, run
npm install
npm run build # bundles the View into dist/mcp-app.html (single file)
npm run serve # HTTP transport on http://localhost:3101/mcp
# or
npm run serve:stdio # stdio transport for Claude Desktopnpm run dev runs Vite in watch mode plus tsx watching the server.
Configuration
Env var | Default | Purpose |
|
| HTTP port |
|
| AG-UI agent base URL |
|
| Max time to wait for a |
Connecting from an MCP host
Microsoft 365 Copilot declarative agents
Follow Microsoft's Build agents with MCP guide and point the declarative agent at http://localhost:3101/mcp (or wherever this server is reachable). This is the host the demo was built on — see the LinkedIn post.
VS Code
Add the HTTP endpoint to mcp.json:
{
"servers": {
"opengen-ui": { "type": "http", "url": "http://localhost:3101/mcp" }
}
}Then
Ask the model to "show me a rotating triangle" / "an interactive binary search visualization" / etc.
Logs
Every tool call writes a structured JSONL log to logs/<timestamp>_<runId>.jsonl. Useful when a generation looks wrong — the log records every AG-UI event, every assistant text, and which extraction path captured the widget (tool_call:widgetRenderer vs. the legacy assistant_text[N] fallback). See spec §9.8.
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