How to Use the Shopline MCP in Google ADK

Q: How do I access order data in Shopline using Google ADK?

You run getorderdetails to retrieve specific, detailed transaction records. This allows your agent to perform deep analysis on individual purchases.

Q: Can the Google ADK list products for a shopline store?

Yes, you use listproducts. This function pulls every product listing available in the entire Shopline ecosystem. It's highly scalable for large inventories.

Q: Does the Google ADK support listing all collections for Shopline?

Absolutely. The listcollections tool lets your agent see every category grouping within the Shopline store, helping segment product data efficiently.

Q: If I use this server, what specific data type is protected by Shopline and Google ADK?

The system handles customer records via listcustomers. Your agent can audit these profiles while maintaining the integrity of the underlying shopline database.

Build Enterprise Shopline Agents with Google ADK.

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Connect Shopline MCP to Google ADK

Create your Vinkius account to connect Shopline to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Shopline with Google ADK

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Analyze Complete Order Histories

Use `get_order_details` to pull deep records for single transactions. This is crucial for BigQuery analysis, allowing you to trace every detail of an order. The agent can also run `list_orders`, giving it a large dataset of recent sales activity across the entire shopline store.

Audit All Store Products and Collections

The toolset lets you pull all product details using `get_product_details`. This data streams directly into your long-context Gemini model for reasoning. Furthermore, calling `list_collections` provides the full taxonomy of products in the shopline store.

Maintain Customer and Shop Context

You can list all users with `list_customers`. This allows your agent to build a robust profile for every customer interacting with the shopline site. It also accesses `get_shop_info`, which grounds the agent's understanding of the store's overall parameters.

Setup guide

Set up Shopline 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 Shopline 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="Shopline_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Shopline 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 Shopline. 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 Shopline MCP in Google ADK

You run `get_order_details` to retrieve specific, detailed transaction records. This allows your agent to perform deep analysis on individual purchases.

Yes, you use `list_products`. This function pulls every product listing available in the entire Shopline ecosystem. It's highly scalable for large inventories.

This server supplies tools to track orders, list customers, get specific product details, and retrieve general shop information. It covers the full e-commerce scope.

Absolutely. The `list_collections` tool lets your agent see every category grouping within the Shopline store, helping segment product data efficiently.

The system handles customer records via `list_customers`. Your agent can audit these profiles while maintaining the integrity of the underlying shopline database.

Use it with your favorite AI tools

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

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