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Imagine.io MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Imagine Status, Create Render Job, Get Account, and more

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Imagine.io through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Imagine.io app connector for Vercel AI SDK is a standout in the Ecommerce category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Imagine.io, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Imagine.io
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Imagine.io MCP Server

Connect your Imagine.io account to any AI agent and take full control of your 3D product visualization and automated content generation workflows through natural conversation.

The Vercel AI SDK gives every Imagine.io tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Project & Product Orchestration — List and manage your entire portfolio of 3D products programmatically, retrieving detailed technical metadata and SKU IDs
  • Content Job Intelligence — Programmatically trigger and monitor 3D generation jobs (Viewer, AR, 360° Spin) to maintain a perfectly coordinated output pipeline
  • Asset Architecture Monitoring — Access real-time statuses for 3D processing and retrieve hosted asset URLs (Viewer URLs, images) directly through your agent
  • Shared Content Discovery — Access generated outputs and their metadata directly through your agent for instant operational reporting
  • Operational Monitoring — Verify account-level API connectivity and monitor content generation volume directly through your agent for perfectly coordinated service scaling

The Imagine.io MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Imagine.io tools available for Vercel AI SDK

When Vercel AI SDK connects to Imagine.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning 3d-visualization, product-rendering, augmented-reality, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_imagine_status

Verify Imagine API connectivity

create_render_job

The job runs asynchronously; check status with get_job_status. Start a 3D render job

get_account

io account details and render credit balance. Get account info

get_job_status

Check render job status

get_product

Get product details

get_scene

Get scene details

list_materials

List available materials

list_products

io account with their render status and metadata. List all 3D products

list_renders

List product renders

list_scenes

List all scenes

Connect Imagine.io to Vercel AI SDK via MCP

Follow these steps to wire Imagine.io into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 10 tools from Imagine.io and passes them to the LLM

Why Use Vercel AI SDK with the Imagine.io MCP Server

Vercel AI SDK provides unique advantages when paired with Imagine.io through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Imagine.io integration everywhere

03

Built-in streaming UI primitives let you display Imagine.io tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Imagine.io + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Imagine.io MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Imagine.io in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Imagine.io tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Imagine.io capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Imagine.io through natural language queries

Example Prompts for Imagine.io in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Imagine.io immediately.

01

"List all my 3D products in Imagine."

02

"Start a render for product 'PROD-4821'."

03

"Show me all scenes available for product placement."

Troubleshooting Imagine.io MCP Server with Vercel AI SDK

Common issues when connecting Imagine.io to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Imagine.io + Vercel AI SDK FAQ

Common questions about integrating Imagine.io MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.