How to Use the Imagine.io MCP in Vercel AI SDK

Use the Imagine.io MCP Server to stream photorealistic 3D product renders directly into your Vercel AI SDK frontends.

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Connect Imagine.io MCP to Vercel AI SDK

Create your Vinkius account to connect Imagine.io to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Imagine.io with Vercel AI SDK

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Real-time render job orchestration

Trigger `create_render_job` directly from your edge functions. Your users get immediate feedback as the AI begins processing their product visualizations. Keep track of progress by polling `get_job_status`. Since this integrates with your streaming responses, you can update your React UI components the moment the render status changes.

Dynamic scene and material selection

Populate your UI dropdowns by calling `list_scenes` and `list_materials`. This lets your users pick the exact environment and finish for their products before hitting render. Fetch specific details using `get_scene` to ensure your application state matches what the Imagine.io backend expects. You avoid hardcoding IDs by pulling the live catalog into your app.

Product metadata integration

Query `list_products` to show your users a gallery of their existing 3D assets. You can display status indicators and metadata alongside each item in your dashboard. Use `get_product` to pull granular details for specific items. This ensures your AI client always has the correct context when making adjustments to existing visualizations.

Setup guide

Set up Imagine.io 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Imagine.io tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 Imagine.io transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Imagine.io. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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

Common questions about Imagine.io MCP in Vercel AI SDK

Install the MCP packages and define your client using the HTTP transport. You pass the tools into your streamText or generateText functions to enable direct communication.

Yes. You can poll the status endpoint and stream those updates to your frontend. This prevents loading spinners and keeps the user informed during the render cycle.

Yes. You can call the list tool to fetch all available materials. You then map these results directly into your application's selection UI.

Yes. Call the account detail tool to retrieve your current balance. You can display this value in your settings page to monitor usage.

The server uses a strict endpoint token for all requests. Your API keys for Imagine.io remain on the server side, and no raw credentials ever touch the frontend.

Use it with your favorite AI tools

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