Gelato MCP Server for Google ADK 12 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Gelato as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="gelato_agent",
instruction=(
"You help users interact with Gelato "
"using 12 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Gelato as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the Gelato MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 12 tools from Gelato via MCP
Why Use Google ADK with the Gelato MCP Server
Google ADK provides unique advantages when paired with Gelato through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Gelato
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine Gelato tools with BigQuery, Vertex AI, and Cloud Functions
Gelato + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Gelato MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Gelato and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Gelato tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Gelato regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Gelato
Gelato MCP Tools for Google ADK (12)
These 12 tools become available when you connect Gelato to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Gelato to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkGelato + Google ADK FAQ
Common questions about integrating Gelato MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Gelato with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 Google ADK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
