How to Use the Zakeke MCP in Google ADK

Q: How does Zakeke integrate with Google ADK for product listing?

The agent uses listproducts and listcompositions to pull current catalog data. Because of the native BigQuery integration, this list can immediately be cross-referenced against historical sales metrics.

Q: What is the process for retrieving print files with Zakeke and Google ADK?

Your agent calls getdesignprintfiles to get the ZIP archive. This action completes a product lifecycle step, making sure the right output data gets sent downstream into your enterprise tools.

Q: Can I check cart info using Zakeke and Google ADK?

Yes. The getcartinfo tool lets the agent see what items are currently configured in the user's shopping session, giving immediate context for any follow-up actions.

Q: If I need order history data using Zakeke and Google ADK?

The agent uses listorders to get a list of all orders. You then use getorderdetails on specific IDs, feeding that structured data into your large-context Gemini models for deep analysis.

Q: How does Zakeke manage product details with Google ADK?

The MCP Server exposes getdesigndetails and listproducts. This allows your agent to retrieve the technical specifications, dimensions, and material requirements for any item.

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Connect Zakeke MCP to Google ADK

Create your Vinkius account to connect Zakeke 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.

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Setup Zakeke with Google ADK

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Audit Customer Designs with MCP Server

`list_designs` retrieves a full list of all customer creations stored in the system. This helps your agent build reports or audit user activity across multiple accounts. You also use `get_design_details` to pull deep information on any single design, which is perfect for feeding into BigQuery records.

Process Product Configurations with MCP Server

`list_compositions` shows every potential 3D product setup. When combined with `get_composition_details`, your agent can quickly map out all available variations for a specific category. This capability lets you build complex data models using the context window of Gemini.

Handle Order Data in Google ADK

`list_orders` provides a comprehensive list of customized product orders. Your agent can feed this entire dataset, via BigQuery integration, to other services for analysis. You grab `get_order_details` when you need the full transaction record for a specific order ID.

Setup guide

Set up Zakeke 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 Zakeke 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="Zakeke_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Zakeke tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Zakeke MCP in Google ADK

The agent uses `list_products` and `list_compositions` to pull current catalog data. Because of the native BigQuery integration, this list can immediately be cross-referenced against historical sales metrics.

Your agent calls `get_design_print_files` to get the ZIP archive. This action completes a product lifecycle step, making sure the right output data gets sent downstream into your enterprise tools.

Yes. The `get_cart_info` tool lets the agent see what items are currently configured in the user's shopping session, giving immediate context for any follow-up actions.

The agent uses `list_orders` to get a list of all orders. You then use `get_order_details` on specific IDs, feeding that structured data into your large-context Gemini models for deep analysis.

The MCP Server exposes `get_design_details` and `list_products`. This allows your agent to retrieve the technical specifications, dimensions, and material requirements for any item.

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