Gelato MCP Server
Manage print-on-demand orders, track fulfillment, and get shipping quotes via AI agents with Gelato.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.
* 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
What is the Gelato MCP Server?
The Gelato MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Gelato via 12 tools. Manage print-on-demand orders, track fulfillment, and get shipping quotes via AI agents with Gelato. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (12)
Tools for your AI Agents to operate Gelato
Ask your AI agent "List all my active print orders and their current status." and get the answer without opening a single dashboard. With 12 tools connected to real Gelato data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents 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 and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Gelato MCP Server capabilities
12 toolsCancel an order
Place new order
Get account identity
Track shipments
Get order details
Get product metadata
Request a quote
List products in catalog
List all orders
List webhook configs
List product catalogs
Check connection
What the Gelato MCP Server unlocks
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.
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.
How it works
1. Subscribe to this server through the Vinkius Marketplace
2. Enter your Gelato API Key (found in Developers > API keys)
3. Start managing your POD production from Claude, Cursor, or any MCP client
Who is this for?
- E-commerce Operations — quickly check order statuses or verify fulfillment tracking without manual dashboard navigation.
- Creative Directors — get a real-time overview of product catalogs and specifications via simple AI commands.
- Support Teams — automate the retrieval of tracking information and order metadata for faster customer resolution.
Frequently asked questions about the Gelato MCP Server
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.
More in this category
CloudCart
8 toolsManage e-commerce and store operations via CloudCart — track products, monitor orders, and manage customers directly from any AI agent.
KnoCommerce
10 toolsAnalyze post-purchase surveys — list responses, audit customer feedback, and track attribution channels.
GiveWP
9 toolsManage donation forms, track donors, and oversee fundraising stats via AI agents with GiveWP.
You might also like
VTEX Catalog
7 toolsSearch products, manage SKUs, update stock levels, and explore categories and brands on your VTEX store — all from any AI agent.
ClassPass
7 toolsManage your ClassPass schedule, reservations, inventory, and performance analytics for your fitness venue through natural conversation.
Typesense Cloud
6 toolsAutomate search cluster workflows via Typesense Cloud — monitor performance metrics, check cluster health, manage aliases, and execute multi-searches.
Connect Gelato with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Gelato MCP Server
Production-grade Gelato MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.