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Imagine.io MCP Server for VS Code CopilotGive VS Code Copilot instant access to 10 tools to Check Imagine Status, Create Render Job, Get Account, and more

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Use with Your AI Agent

Ask AI about this App Connector for VS Code Copilot

Open in ChatGPT Open in Claude Open in Perplexity

The Imagine.io app connector for VS Code Copilot 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

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Imagine.io and 3,400+ MCP Servers from a single visual interface.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "imagineio": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Imagine.io
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

GitHub Copilot Agent mode brings Imagine.io data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot

When VS Code Copilot 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 VS Code Copilot via MCP

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

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using Imagine.io

Ask Copilot: "Using Imagine.io, help me...". 10 tools available

Why Use VS Code Copilot with the Imagine.io MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Imagine.io through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Imagine.io + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Imagine.io MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for Imagine.io in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

Common issues when connecting Imagine.io to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Imagine.io + VS Code Copilot FAQ

Common questions about integrating Imagine.io MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.