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How to Use the Plasmic (Visual Headless Page Builder) MCP in Vercel AI SDK

Stream visual layouts and CMS updates straight to your Next.js frontend with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Plasmic (Visual Headless Page Builder) MCP to Vercel AI SDK

Create your Vinkius account to connect Plasmic (Visual Headless Page Builder) to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Fetch and render raw HTML via this MCP Server

The `render_html` tool pulls raw, pre-rendered HTML components straight from your visual design canvas. Your agent requests the exact component layout and receives the markup instantly. This means you bypass heavy build steps. Because it runs on edge functions, your users see live layout changes without waiting for a full redeploy.

Live CMS updates streamed directly to UI

The `query_cms_items` tool pulls structured database records from your visual page builder via this MCP Server. You pass these results straight to your streaming text UI. Your users watch data populate in real-time. There is no awkward loading spinner while the database queries run behind the scenes.

Programmatic project updates

The `update_project` tool modifies your project structure directly from your application code using this MCP connection. Your agent changes layout variables and updates page trees on the fly. This setup handles visual adjustments programmatically. You write code that tells your agent how to restructure pages, and it executes the layout changes instantly.

Setup guide

Set up Plasmic (Visual Headless Page Builder) MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Plasmic (Visual Headless Page Builder) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Plasmic (Visual Headless Page Builder) transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Plasmic. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Real-time monitoring

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Built-in savings

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Single dashboard

One

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Plasmic (Visual Headless Page Builder) MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package to initialize the Vercel connection. You then pass the Plasmic (Visual Headless Page Builder) tools directly into `generateText` or `streamText` to let your agent manage your visual components.
Yes, you use the `render_html` tool to retrieve the raw markup of your visual components. This allows your Vercel AI SDK edge functions to stream the generated HTML directly into your React or Next.js frontend.
The `query_cms_items` tool fetches database records directly from your visual CMS. Your Vercel AI SDK streaming functions receive this data immediately, letting you render dynamic content on the fly.
You must always call `mcpClient.close()` once your streaming execution finishes to release the MCP Server connection. This prevents open connections from hanging in serverless environments.
All project schemas and CMS payloads pass through a zero-trust, ephemeral V8 isolate sandbox. No design assets or database records are stored permanently on Vinkius servers, ensuring complete data isolation.

Start using the Plasmic (Visual Headless Page Builder) MCP today

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