How to Use the Gelato MCP in Google ADK

Connect Gemini to our Gelato MCP Server using Google ADK to turn BigQuery customer data into custom print orders.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Gelato MCP to Google ADK

Create your Vinkius account to connect Gelato to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Gelato with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Process massive print catalogs in Gemini's long context

Feeding catalog tools like `list_catalog_products` to your Google ADK agent lets you process massive inventories instantly. Gemini's million-token window lets your agent digest your entire print inventory in one go to match complex customer purchase histories to the perfect merchandise. The Google ADK agent uses `get_product_details` to pull deep metadata for hundreds of custom print items simultaneously. It handles these massive print data payloads without hitting context window limits, finding the exact mug or shirt template in seconds.

Trigger Gelato MCP Server actions from enterprise data

Linking print tools like `create_print_order` to your Google ADK enterprise workflow lets you automate physical fulfillment. If your customer shipping records live in BigQuery, your Google ADK agent can query those tables and immediately act on them to send print orders. The agent verifies connectivity using `verify_api_connection` before running batch print jobs. Running these queries in parallel lets you fetch shipping costs via `get_shipping_quote` for thousands of database records.

Let Gemini monitor order pipelines on Google Cloud

Tracking shipments becomes automated when this Gelato MCP Server exposes tools like `get_order_shipments` to your Google ADK pipeline. Keep your customer support teams updated by letting Gemini track physical print shipments and write those updates directly back to your cloud database. If a print shipment gets stuck, the Google ADK agent calls `get_order_status` to pinpoint the delay. Drafting proactive emails to customers or flagging the order for manual review happens automatically based on those status checks.

Setup guide

Set up Gelato MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Gelato tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Gelato_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Gelato tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Gelato now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Gelato MCP in Google ADK

Install the library and define an McpToolset pointing to your Vinkius MCP Server endpoint. Pass this toolset to your agent to let Gemini call print tools natively.

Yes, Gemini can read shipping addresses from BigQuery and use `get_shipping_quote` to calculate delivery costs. It processes these requests in batch using the Google ADK tool execution loop.

Your agent can monitor your database for cancellation flags and invoke `cancel_print_order` automatically. It then records the cancellation status back to your Google Cloud storage logs.

You can pass an optional list of allowed tool names to your toolset constructor. This prevents Gemini from calling sensitive tools like `create_print_order` while still allowing catalog searches.

Customer names, physical addresses, and print files are routed directly through Vinkius's ephemeral V8 Isolate Sandbox. This ensures your customer data never touches persistent storage on its way to Gelato.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript