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How to Use the Imagine.io MCP in Claude

Get photorealistic 3D product renders directly in your Claude Desktop chat by connecting to your Imagine.io workspace.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Imagine.io MCP on Cursor AI Code Editor MCP Client Imagine.io MCP on Claude Desktop App MCP Integration Imagine.io MCP on OpenAI Agents SDK MCP Compatible Imagine.io MCP on Visual Studio Code MCP Extension Client Imagine.io MCP on GitHub Copilot AI Agent MCP Integration Imagine.io MCP on Google Gemini AI MCP Integration Imagine.io MCP on Lovable AI Development MCP Client Imagine.io MCP on Mistral AI Agents MCP Compatible Imagine.io MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Claude Desktop

Connect Imagine.io MCP to Claude Desktop

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

GDPR Free for Subscribers

Kick off 3D render jobs inside Claude Desktop

Stop jumping between tabs to configure your 3D assets. You can tell your agent to start a new render directly in Claude Desktop by triggering `create_render_job` over this MCP link. The server handles the asynchronous queue, so you can keep chatting while the GPU does the heavy lifting. You don't have to guess when the assets are ready. Your agent uses `get_job_status` to monitor progress and alerts you the second the photorealistic image is finished. It's a dead-simple way to run your visual pipeline without leaving your main workspace.

Browse scenes and materials via MCP Server

Finding the right backdrop for your e-commerce products shouldn't take ten clicks. Your agent queries your active library using `list_scenes` and `list_materials` to show you exactly what options you have available for your next layout. Once you pick a look, you can drill down into the specifics. The agent pulls the exact configuration using `get_scene` so you know the lighting and angles are exactly right before you burn any render credits.

Track your render credits and product inventory

Keep an eye on your budget without opening a browser dashboard. Your agent runs `get_account` to pull up your current Imagine.io credit balance right inside the chat window. You can also audit your active catalog by calling `list_products` and `list_renders`. It gives you a clean list of what's already built, so you never pay to render the same product twice.

Setup guide

Set up Imagine.io MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The Imagine.io MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Why Choose Vinkius

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

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 Claude Desktop

You just add the configuration block to your local config file. Once you restart the app, your agent will immediately see tools like `list_scenes` and can start running jobs via local MCP servers.
Yes, your agent uses `get_job_status` to poll the active queue. You don't have to keep a browser window open to see if your product images are finished rendering.
Yes, because this MCP server runs locally via stdio, your agent can combine your local product photos with `create_render_job` to build automated pipelines.
Your agent can run `check_imagine_status` at any time. It returns a quick handshake confirmation so you know the connection is solid before starting a heavy render.
The MCP server runs in a local sandbox and only passes raw metadata like scene IDs, material names, and job statuses. Your actual 3D mesh files and final high-resolution product renders stay safely stored on the secure Imagine.io servers.

Start using the Imagine.io MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Imagine.io. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

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