How to Use the Imagine.io MCP in VS Code Copilot

Q: How do we share the Imagine.io configuration across our team in VS Code Copilot?

You save the server configuration inside your project's .vscode/mcp.json MCP configuration file. When team members open the workspace, Copilot reads the file and exposes tools like createrenderjob automatically.

Q: Can VS Code Copilot monitor active Imagine.io jobs?

Yes, your Copilot agent uses getjobstatus to check the progress of your asynchronous renders and will update you directly in the chat panel.

Q: How can I check our team's remaining render credits?

Just ask Copilot to query your account details. It runs getaccount to show your remaining balance and active subscription tier.

Ship 3D automation workflows with your team using Imagine.io inside VS Code Copilot.

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Connect Imagine.io MCP to VS Code Copilot

Create your Vinkius account to connect Imagine.io to VS Code Copilot 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 VS Code Copilot

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Team-wide 3D rendering workflows via MCP

Keep your whole engineering team aligned on the same visual assets. By committing the configuration to your repo, every developer using VS Code Copilot can instantly run `create_render_job` to test automation pipelines without setting up keys from scratch. The agent tracks these background tasks using `get_job_status` to ensure your webhooks handle completed renders correctly. It simplifies collaborative development by putting the entire 3D engine inside your shared editor.

Inspect asset metadata via MCP Server

Stop guessing which materials are available for your automated room generator. Your Copilot agent uses `list_materials` and `get_scene` to verify that your code references valid assets before running a build. It can also check the API availability directly using `check_imagine_status`. If there's a network glitch, your team knows immediately instead of chasing bugs in your application code.

Audit your product library directly from the editor

Managing a massive catalog of 3D models is tough. Your Copilot agent runs `list_products` and `get_product` to pull down the exact metadata you need to build dynamic e-commerce frontends. You can also check on finished assets using `list_renders`. It lets your team inspect the output URLs and verify image resolutions without leaving the development environment.

Setup guide

Set up Imagine.io MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Imagine.io MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Imagine.io tools listed. Try asking: "List my recent Imagine.io transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "imagineio-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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.

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Common questions about Imagine.io MCP in VS Code Copilot

You save the server configuration inside your project's `.vscode/mcp.json` MCP configuration file. When team members open the workspace, Copilot reads the file and exposes tools like `create_render_job` automatically.

Yes, your Copilot agent uses `get_job_status` to check the progress of your asynchronous renders and will update you directly in the chat panel.

You need VS Code version 1.96 or newer with the Copilot extension enabled to support the external MCP tool calling protocol.

Just ask Copilot to query your account details. It runs `get_account` to show your remaining balance and active subscription tier.

The MCP link acts as a direct, encrypted bridge between your editor and the Imagine.io API. No raw scene data, material lists, or product details are sent to external AI training loops, ensuring your IP remains private.

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