How do I get an API Key for Gelato?

Log in to your Gelato dashboard, navigate to Developers > API keys, and you can generate a new production or test key there.

What is the difference between an Order ID and a Reference ID?

The Order ID is generated by Gelato, while the Reference ID is your own internal identifier passed during order creation to map the records.

Can I cancel an order via the agent?

Yes, use the 'cancel_print_order' tool. Note that cancellation is only possible if the order status is still 'created' and production hasn't started.

How do I find the correct product UID?

Use the 'list_catalog_products' tool to browse available items. The agent will return the unique 'productUid' needed for order creation.

Gelato MCP Server for VS Code Copilot 12 tools — connect in under 2 minutes

Name: Gelato
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 12 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.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Gelato and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

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

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 Gelato MCP Server

Connect your Gelato account to any AI agent to automate your print-on-demand (POD) lifecycle through the Model Context Protocol (MCP). Gelato enables creators and businesses to produce and ship custom products globally without inventory. This MCP server allows you to manage orders, retrieve product catalogs, and track real-time shipping statuses directly through natural conversation.

GitHub Copilot Agent mode brings Gelato data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

Key Features

Order Management — List all print orders, fetch detailed status metadata, and create new global orders programmatically.
Product Discovery — Access available product catalogs and retrieve detailed specifications for individual items (product UIDs).
Fulfillment Tracking — Retrieve tracking numbers and real-time shipment details for every order in your account.
Pricing & Quoting — Request real-time shipping and production quotes for potential orders across different regions.
Webhook Visibility — List configured webhooks to ensure your internal systems are receiving real-time production updates.
Account Oversight — Verify your account metadata and API connectivity to maintain a seamless production workflow.
Global Fulfillment — Leverage Gelato's massive network of local production partners directly from your chat interface.

The Gelato MCP Server exposes 12 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.

How to Connect Gelato to VS Code Copilot via MCP

Follow these steps to integrate the Gelato MCP Server with VS Code Copilot.

Create MCP config

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

Add the server config

Paste the JSON configuration above

Enable Agent mode

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

Start using Gelato

Ask Copilot: "Using Gelato, help me...". 12 tools available

Why Use VS Code Copilot with the Gelato MCP Server

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

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

Gelato + VS Code Copilot Use Cases

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

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

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

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

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

Gelato MCP Tools for VS Code Copilot (12)

These 12 tools become available when you connect Gelato to VS Code Copilot via MCP:

cancel_print_order

Cancel an order

create_print_order

Place new order

get_account_info

Get account identity

get_order_shipments

Track shipments

get_order_status

Get order details

get_product_details

Get product metadata

get_shipping_quote

Request a quote

list_catalog_products

List products in catalog

list_print_orders

List all orders

list_print_webhooks

List webhook configs

list_product_catalogs

List product catalogs

verify_api_connection

Check connection

Example Prompts for Gelato in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Gelato immediately.

"List all my active print orders and their current status."

"Get the shipping details for order 'gelato_12345'."

"List all products in the 'Apparel' catalog (ID: cat_987)."

Troubleshooting Gelato MCP Server with VS Code Copilot

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

MCP tools not available

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

Gelato + VS Code Copilot FAQ

Common questions about integrating Gelato MCP Server with VS Code Copilot.

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.

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.

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.

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.