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 LangChain 12 tools — connect in under 2 minutes

Name: Gelato
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Gelato through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "gelato": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Gelato, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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.

LangChain's ecosystem of 500+ components combines seamlessly with Gelato through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Gelato MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Gelato via MCP

Why Use LangChain with the Gelato MCP Server

LangChain provides unique advantages when paired with Gelato through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Gelato MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Gelato queries for multi-turn workflows

Gelato + LangChain Use Cases

Practical scenarios where LangChain combined with the Gelato MCP Server delivers measurable value.

RAG with live data: combine Gelato tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Gelato, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Gelato tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Gelato tool call, measure latency, and optimize your agent's performance

Gelato MCP Tools for LangChain (12)

These 12 tools become available when you connect Gelato to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Gelato to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Gelato + LangChain FAQ

Common questions about integrating Gelato MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.