How to Use the Veeqo MCP in Google ADK

Q: Can I process multiple Veeqo orders using Google ADK?

Yes. You can use listorders to grab a batch of records and then iterate over them, calling getorderdetails for each one. This works perfectly in your long-context Gemini model.

Q: Does Veeqo support listing inventory products with Google ADK?

It does. The listinventoryproducts tool provides a full catalog list, which is ideal for feeding into BigQuery tables for advanced reporting and anomaly detection.

Build enterprise Veeqo agents on Google ADK: Process inventory and orders using BigQuery connectivity.

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Connect Veeqo MCP to Google ADK

Create your Vinkius account to connect Veeqo 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 Veeqo with Google ADK

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Get all necessary product details via MCP Server

The `get_product_details` tool retrieves specific item information, allowing your agent to pull deep specs on any SKU. You can also use `list_inventory_products` to get a full list of every available product. This mechanism is great for cross-referencing data. Since you're using Google ADK, these lists feed directly into BigQuery for historical analysis.

Manage Veeqo orders and shipments

Need to track fulfillment? The `list_shipments` tool pulls a list of all outgoing packages. Furthermore, using `get_order_details` lets your agent focus on one specific order's history. If you need to record new sales, the `create_manual_order` function handles that action. This keeps your operational data clean and actionable.

List customers and orders with Google ADK

Your agent can run `list_customers` to pull comprehensive lists of users, which then informs order processing. Paired with `list_orders`, you get a complete view of all Veeqo transactions. This robust MCP Server also includes the ability to check out all current sales via `list_orders`, making it useful for immediate reporting in Vertex AI.

Setup guide

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

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Common questions about Veeqo MCP in Google ADK

Your agent uses the McpToolset to communicate directly with this MCP Server. Because of its native integration with BigQuery, any data pulled from Veeqo gets routed into your enterprise cloud environment.

Yes. You can use `list_orders` to grab a batch of records and then iterate over them, calling `get_order_details` for each one. This works perfectly in your long-context Gemini model.

The MCP Server acts as the source of truth for e-commerce data—it holds product specs, customer lists, and order records. Your agent simply calls the tools to act on that data.

It does. The `list_inventory_products` tool provides a full catalog list, which is ideal for feeding into BigQuery tables for advanced reporting and anomaly detection.

The server touches product inventory details and customer profile information. This includes things like SKUs, names, addresses, and quantities.

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