Gelato MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Gelato through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"gelato": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Gelato Agent",
instructions:
"You help users interact with Gelato " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Gelato?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Gelato tool infrastructure. Connect 12 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Gelato MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from Gelato via MCP
Why Use Mastra AI with the Gelato MCP Server
Mastra AI provides unique advantages when paired with Gelato through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Gelato without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Gelato tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Gelato + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Gelato MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Gelato, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Gelato as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Gelato on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Gelato tools alongside other MCP servers
Gelato MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Gelato to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Gelato to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGelato + Mastra AI FAQ
Common questions about integrating Gelato MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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.
Connect Gelato to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.