M

mcp

by @vercel-labsv
4.4(120)

A toolkit to build MCP servers that render interactive UIs via JSON specs. It wraps json-render core and MCP protocol, enabling developers to quickly integrate dynamic UIs into Claude, ChatGPT, Cursor, and VS Code by simply defining UI structure and components, significantly reducing frontend development effort for MCP apps.

mcpjson-renderui-componentsreactintegrationGitHub
Installation
npx skills add https://github.com/vercel-labs/json-render --skill mcp
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Before / After Comparison

1 组
Before

Without this Skill, developers had to manually write HTML, CSS, and JavaScript to create interactive UIs and test integration across multiple MCP clients, a tedious process averaging 120 minutes.

After

With this Skill, developers only need to define a JSON spec, which automatically generates a complete UI and embeds it into MCP clients, reducing development time to 15 minutes.

SKILL.md

@json-render/mcp

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

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Statistics

Installs5.8K
Rating4.4 / 5.0
Version
Updated2026年9月26日
Comparisons1

User Rating

4.4(120)
5
37%
4
43%
3
13%
2
5%
1
2%

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0.0

Compatible Platforms

🤖claude-code

Timeline

Created2026年7月26日
Last Updated2026年9月26日
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