3,400+ MCP servers ready to use
Vinkius

Bring 3d Visualization
to VS Code Copilot

Learn how to connect Imagine.io to VS Code Copilot and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Check Imagine StatusCreate Render JobGet AccountGet Job StatusGet ProductGet SceneList MaterialsList ProductsList RendersList Scenes

What is the 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.

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

How it works

1. Subscribe to this server
2. Retrieve your API Key and Registered Domain from your Imagine.io dashboard (Settings > API Access)
3. Start orchestrating your 3D assets from Claude, Cursor, or any MCP client

No more manual checking of individual job statuses or missing 3D viewer links. Your AI acts as your dedicated 3D coordinator and asset architect.

Who is this for?

  • E-commerce Managers — instantly retrieve 3D viewer links and monitor content job status using natural language commands
  • 3D Artists & Developers — verify asset metadata and track processing health without leaving your creative workspace
  • Operations Leads — automate the management of 3D product portfolios through simple AI queries

Built-in capabilities (10)

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

Why VS Code Copilot?

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.

  • 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

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

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

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

See it in action

Imagine.io in VS Code Copilot

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Imagine.io and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Imagine.io to VS Code Copilot through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Imagine.io in VS Code Copilot

The Imagine.io 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in VS Code Copilot only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

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

The Vinkius Advantage

How Vinkius secures Imagine.io for VS Code Copilot

Every tool call from VS Code Copilot to the Imagine.io MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I start a 3D render job?

Use the create_render_job tool with a product identifier. The render runs asynchronously — check progress with get_job_status.

02

Can I browse available 3D scenes and materials?

Yes. Use list_scenes to browse environments and list_materials to see all available textures and finishes for your products.

03

How do I download the final rendered images?

Use list_renders with the product identifier to retrieve all completed render URLs including resolution details and download links.

04

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.

05

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.

06

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.

07

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.

08

MCP tools not available

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