How to Use the Shoplazza MCP in Google ADK

Q: If I need to check product details, which tool do I use with Shoplazza and Google ADK?

Use getshoplazzaproduct. This function provides specific, deep-dive data on any single item in your catalog.

Q: What core types of e-commerce data does the MCP Server provide for Shoplazza and Google ADK?

The server manages structured data covering products (listshoplazzaproducts), customer profiles, order history, and overall shop configuration.

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Connect Shoplazza MCP to Google ADK

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Executing Product Queries via MCP Server

The agent can pull specific product details using `get_shoplazza_product`. This allows your workflow to check pricing or descriptions before triggering a larger process. You might also want to run `list_shoplazza_products` first to scope the search. When you need to add a new line of goods, just call `create_shoplazza_product`. The framework ensures that all required data points are passed correctly for successful record creation.

Managing Customer and Order Flows

To see who's buying from you, use `list_shoplazza_customers`. If a user needs specific details—like their last order—the agent can call `get_shoplazza_customer` followed by `get_shoplazza_order` using the customer ID. BigQuery integration is key here. You process these records, and then use `list_shoplazza_orders` to get a complete view of historical transactions.

Retrieving Shop Metadata via MCP Server

Need high-level context? Use `get_shoplazza_shop` to pull core shop metadata. This provides the necessary global parameters for any subsequent operations. If you need to map out how products are grouped, run `list_shoplazza_collections`. You can then use this data in conjunction with product listings via `list_shoplazza_products`.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Shoplazza. 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.

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Common questions about Shoplazza MCP in Google ADK

The native integration with BigQuery means you don't just get data; you can process it within your existing cloud infrastructure. This lets agents run complex, long-context reasoning on e-commerce metrics.

You can automatically generate customer reports by listing all users via `list_shoplazza_customers` and retrieving individual data points with `get_shoplazza_customer`. It’s built for enterprise-level automation.

Yes. The platform is optimized for global selling, handling multi-currency requirements and localized checkout flows across diverse regions.

Use `get_shoplazza_product`. This function provides specific, deep-dive data on any single item in your catalog.

The server manages structured data covering products (`list_shoplazza_products`), customer profiles, order history, and overall shop configuration.

Use it with your favorite AI tools

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

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