Gelato MCP. Manage POD orders and track global fulfillment status.
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Gelato. Manages your entire print-on-demand (POD) workflow through AI agents. Use this server to list products, place new orders, track real-time shipments, and get instant shipping quotes globally.
It connects your POD operations directly to your natural language conversation, eliminating the need to jump between dashboards.
What your AI agents can do
Cancel print order
Cancels a specific print-on-demand order.
Create print order
Places a new print-on-demand order.
Get account info
Retrieves high-level account identity and metadata.
List all existing print orders, check their status, or create entirely new global orders.
List available product lines and get detailed specifications for any specific item (UID).
Request real-time quotes for shipping and production costs across different global regions.
Retrieve tracking numbers and real-time delivery status for any order.
Verify your API connection and list configured webhooks to ensure the system is running correctly.
Ask AI about this MCP
Supported MCP Clients
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Gelato MCP Server: 12 Tools for POD Operations
These 12 tools give your AI agent direct access to your Gelato account's core functions, letting you manage everything from product listings to final fulfillment status.
019d75a3cancel print order
Cancels a specific print-on-demand order.
019d75a3create print order
Places a new print-on-demand order.
019d75a3get account info
Retrieves high-level account identity and metadata.
019d75a3get order shipments
Gets the real-time tracking details for a specific order.
019d75a3get order status
Retrieves the current status and detailed metadata for an existing order.
019d75a3get product details
Fetches the specific product metadata for a given item UID.
019d75a3get shipping quote
Requests a real-time cost estimate for shipping and production.
019d75a3list catalog products
Lists all available products within a specified catalog.
019d75a3list print orders
Lists all print orders associated with your account.
019d75a3list print webhooks
Shows all currently configured webhooks for production updates.
019d75a3list product catalogs
Lists all product catalogs available in your account.
019d75a3verify api connection
Checks the connection status and credentials for the Gelato API.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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Make Your AI Do More
Start with Gelato, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Gelato MCP Server: Manage Your Print-on-Demand Workflow
Your AI client handles your whole print-on-demand gig. You'll list products, place new orders, track shipments in real-time, and grab shipping quotes for anywhere in the world. This server hooks your whole POD operation right into your chat, so you never gotta jump between dashboards.
Managing Your Orders
- You can list all print orders associated with your account using
list_print_orders. You can also check the status of an order usingget_order_status, getting all the detailed metadata you need. Need to cancel something? Just runcancel_print_orderfor a specific order. You can also create entirely new print orders usingcreate_print_order. - To see what products you're working with, you can list all product catalogs with
list_product_catalogs. You can then get the specific product metadata for any item UID usingget_product_details.
Tracking and Costs
- To see where an order is right now, run
get_order_shipmentsto get real-time tracking details. You can also request a real-time cost estimate for shipping and production anywhere globally usingget_shipping_quote. - To keep tabs on your whole operation, you can get high-level account identity and metadata with
get_account_info.
System Checks
- You can verify your API connection status and credentials with
verify_api_connection. You can also list all configured webhooks for production updates usinglist_print_webhooks.
How Gelato MCP Works
- 1 Subscribe to the Gelato MCP Server on Vinkius and provide your Gelato API Key.
- 2 Your AI client invokes a tool (e.g.,
list_print_orders) specifying the necessary parameters. - 3 The server executes the action, fetches the data from Gelato, and sends a plain text response back to your AI client.
The bottom line is that your AI agent acts as a single point of access to your entire Gelato account, eliminating the need for multiple manual API calls.
Who Is Gelato MCP For?
The e-commerce operations manager who needs to check order status across regions without logging into a dashboard. The creative director who needs to quickly pull product specs to pitch a client. Support teams who need to instantly find tracking numbers for frustrated customers.
Checks order statuses, verifies fulfillment tracking, and runs inventory checks across multiple product lines.
Retrieves product catalogs and detailed specifications to approve designs or quote materials for a client pitch.
Gets real-time tracking numbers and order metadata to resolve customer inquiries faster than manual dashboard navigation allows.
What Changes When You Connect
- Manage order fulfillment instantly. Use
list_print_ordersto get a list of all active print jobs, and then useget_order_statusto check the exact status of any job without manual dashboard navigation. - Never lose track of inventory details. The
list_catalog_productstool lets you see every product available and fetch detailed specs withget_product_detailsfor quick design approvals. - Get real-time cost estimates on the fly. Instead of guessing, use
get_shipping_quoteto request instant production and shipping quotes before confirming a sale. - Streamline customer service. Use
get_order_shipmentsto pull the tracking number and carrier name for an order ID, letting you answer customer questions immediately. - Keep your system connected. Run
verify_api_connectionto ensure your API credentials are valid, guaranteeing your AI agent can run critical tasks when you need it most. - Build a complete workflow. You can combine
get_product_details(for specs) withcreate_print_order(to start the job) andget_order_status(to confirm the result) in a single conversation.
Real-World Use Cases
A client needs product specs for a new mock-up.
A creative director needs to know the weight and material of the 'Premium Hoodie' before sending it to a client. Instead of navigating to the product page and finding the UID, they ask their agent to run list_product_catalogs and then get_product_details using the specific UID. The agent returns the exact specs immediately.
The customer asks, 'Where is my order?'
A support agent gets a ticket and needs tracking info fast. They ask their agent to run get_order_shipments with the order ID. The agent returns the carrier, tracking number, and estimated delivery date, solving the problem in seconds.
Launching a new product line requires quoting.
The e-commerce ops manager plans a new line of mugs. They need to know the cost to print and ship 1,000 units to Europe. They run get_shipping_quote with the product type and quantity, getting a reliable cost estimate immediately.
Need to verify the status of a pending order.
You placed a large order, but the status hasn't updated in 24 hours. You ask the agent to run get_order_status and get_order_shipments. The agent checks both endpoints, confirming the order moved from 'In Production' to 'Awaiting Shipment'.
The Tradeoffs
Manually checking order status in tabs.
Logging into the Gelato dashboard, clicking 'Orders,' filtering by date, opening the first order, clicking 'Details,' then opening the second order, etc. This takes 15-20 minutes and requires constant context switching.
→
Tell your agent to run list_print_orders first. Then, ask it to run get_order_status for the specific order IDs you care about. You get all the data in one chat session.
Forgetting to check API credentials.
Starting a workflow only to fail halfway through because the API key expired or was revoked. The process stops dead, and you have to manually check the system settings.
→
Always run verify_api_connection first. It confirms your credentials are good and that your agent can actually talk to Gelato before you start anything else.
Assuming the order is ready for shipping.
Trying to create a new order (create_print_order) without first knowing the exact product specifications or current stock availability, leading to a failed order submission.
→
First, use list_product_catalogs to see what's available. Then, use get_product_details to confirm the correct product UID and specs before running create_print_order.
When It Fits, When It Doesn't
Use this server if your workflow involves connecting product data, order creation, and fulfillment tracking across different stages. You need a single source of truth that can check status, list products, and calculate costs—all without leaving your AI chat window. Don't use it if you just need to manage basic billing or invoicing, as this server focuses on the physical goods and fulfillment process. If you only need to list general product IDs without needing to check shipping quotes, you might only need list_catalog_products and get_product_details."
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gelato. 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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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Managing POD orders shouldn't require jumping between five different tabs.
Today, managing a print-on-demand batch means logging into the Gelato dashboard. You check the order list, then you click into Order A to see the status. If you need the product specs, you jump to the catalog, find the item, and copy the UID. If you need the shipping cost, you open a separate quote page. It's constant clicking and copy-pasting.
With this MCP server, you just tell your agent what you need. You ask it to list all orders and their status, or ask it to find the specs for a product. The agent runs the tools and spits out the answer right there. You don't touch a dashboard.
Gelato MCP Server: Get order data and quotes instantly.
You no longer have to wait for manual status updates or manually copy tracking numbers from different emails. Your agent runs `get_order_status` to confirm the status, and runs `get_order_shipments` to pull the tracking number, all in the same chat thread.
The difference is the state. Everything is accessible via a direct tool call. The whole workflow is managed by the agent, not by your mouse clicks. It's immediate, structured, and always accurate.
Common Questions About Gelato MCP
How do I use the `list_print_orders` tool with Gelato? +
The list_print_orders tool retrieves a list of all orders associated with your account. You run this tool first to get the order IDs, and then you can use get_order_status on those IDs for deeper details.
Does `get_shipping_quote` require me to have an order first? +
No, you run get_shipping_quote to get a cost estimate for a potential order. You provide the product type, quantity, and region; it gives you a quote before you commit to making the order.
What is the difference between `get_order_status` and `get_order_shipments`? +
get_order_status tells you where the order is in the process (e.g., 'In Production'). get_order_shipments gives you the physical tracking details (e.g., 'Shipped via DHL').
Can I cancel an order using the `cancel_print_order` tool? +
Yes, the cancel_print_order tool allows you to cancel a specific order ID. The agent will confirm if the cancellation is possible based on the order's current status.
What if I need to check my API connection first? +
Run verify_api_connection. This tool checks your credentials and confirms the agent's ability to connect to Gelato before you start any other workflow.
How do I check the available products using the `list_catalog_products` tool? +
The list_catalog_products tool shows you all available product collections. You can then select a specific catalog to view available product UIDs and details.
What should I use if I need to track a specific shipment using `get_order_shipments`? +
You must provide the order ID to get_order_shipments. This tool fetches real-time tracking numbers and the estimated delivery date for that specific order.
Can I programmatically place a new order using `create_print_order`? +
Yes, create_print_order handles the entire process. You just need to pass the necessary product IDs, quantities, and customization details to place the order immediately.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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