@json-render/mcp

SkillCloud & infra

Lets your agent build interactive UI components that render inside chat apps like Claude or ChatGPT.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the @json-render/mcp skill

About this capability

MCP Apps integration for json-render. Use when building MCP servers that render interactive UIs in Claude, ChatGPT, Cursor, or VS Code, or when integrating json-render with the Model Context Protocol.

What this skill tells your AI

The instructions your AI receives, as published by vercel-labs/json-render in skills/mcp/SKILL.md and read by ahel’s review.

MCP Apps integration that serves json-render UIs as interactive MCP Apps inside Claude, ChatGPT, Cursor, VS Code, and other MCP-capable clients.

Quick Start

Server (Node.js)

import { createMcpApp } from "@json-render/mcp";
import { defineCatalog } from "@json-render/core";
import { schema } from "@json-render/react/schema";
import { shadcnComponentDefinitions } from "@json-render/shadcn/catalog";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import fs from "node:fs";

const catalog = defineCatalog(schema, {
  components: { ...shadcnComponentDefinitions },
  actions: {},
});

const server = createMcpApp({
  name: "My App",
  version: "1.0.0",
  catalog,
  html: fs.readFileSync("dist/index.html", "utf-8"),
});

await server.connect(new StdioServerTransport());

Client (React, inside iframe)

import { useJsonRenderApp } from "@json-render/mcp/app";
import { JSONUIProvider, Renderer } from "@json-render/react";

function McpAppView({ registry }) {
  const { spec, loading, error } = useJsonRenderApp();
  if (error) return <div>Error: {error.message}</div>;
  if (!spec) return <div>Waiting...</div>;
  return (
    <JSONUIProvider registry={registry} initialState={spec.state ?? {}}>
      <Renderer spec={spec} registry={registry} loading={loading} />
    </JSONUIProvider>
  );
}

Architecture

  1. createMcpApp() creates an McpServer that registers a render-ui tool and a ui:// HTML resource
  2. The tool description includes the catalog prompt so the LLM knows how to generate valid specs
  3. The HTML resource is a Vite-bundled single-file React app with json-render renderers
  4. Inside the iframe, useJsonRenderApp() connects to the host via postMessage and renders specs

Server API

  • createMcpApp(options) - main entry, creates a full MCP server
  • registerJsonRenderTool(server, options) - register a json-render tool on an existing server
  • registerJsonRenderResource(server, options) - register the UI resource

Client API (@json-render/mcp/app)

  • useJsonRenderApp(options?) - React hook, returns { spec, loading, connected, error, callServerTool }
  • buildAppHtml(options) - generate HTML from bundled JS/CSS

Building the iframe HTML

Bundle the React app into a single self-contained HTML file using Vite + vite-plugin-singlefile:

// vite.config.ts
import { defineConfig } from "vite";
import react from "@vitejs/plugin-react";
import { viteSingleFile } from "vite-plugin-singlefile";

export default defineConfig({
  plugins: [react(), viteSingleFile()],
  build: { outDir: "dist" },
});

Client Configuration

Cursor (.cursor/mcp.json)

{
  "mcpServers": {
    "my-app": {
      "command": "npx",
      "args": ["tsx", "server.ts", "--stdio"]
    }
  }
}

Claude Desktop

{
  "mcpServers": {
    "my-app": {
      "command": "npx",
      "args": ["tsx", "/path/to/server.ts", "--stdio"]
    }
  }
}

Dependencies

# Server
npm install @json-render/mcp @json-render/core @modelcontextprotocol/sdk

# Client (iframe)
npm install @json-render/react @json-render/shadcn react react-dom

# Build tools
npm install -D vite @vitejs/plugin-react vite-plugin-singlefile

Signals

GitHub stars
16k
Forks
874
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
mcp-vercel-labs
Source
github.com/vercel-labs/json-render