How to Use the CartonCloud MCP in Google ADK

Q: Does the Google ADK support real-time CartonCloud order lookups?

Yes. The Gemini model calls getsaleorderdetails on demand to fetch live data during customer service chats. This removes the need to sync databases to Google Cloud.

Feed CartonCloud logistics and stock data directly to your Gemini models using the enterprise Google ADK.

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Connect CartonCloud MCP to Google ADK

Create your Vinkius account to connect CartonCloud 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 CartonCloud with Google ADK

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Query CartonCloud freight using Google ADK

The `list_consignments` tool connects CartonCloud transport logs directly to your Gemini-powered agent. This allows your enterprise pipeline to run long-context reasoning over shipping rows using this MCP Server. The Google ADK uses these transport details to cross-reference delivery routes with BigQuery tables. Your agent identifies shipping bottlenecks by comparing real-time transport data with your historical logistics benchmarks.

Audit warehouse stock levels at scale

The `get_product_stock` tool pulls live inventory quantities from CartonCloud into your Gemini runtime. Your agent matches these numbers against inbound shipments to keep your supply chain balanced. By combining this with `list_warehouse_products`, your agent builds a complete picture of your storage footprint. You get instant answers about warehouse capacity without leaving your Google Cloud console.

Analyze sales orders with long-context reasoning

The `list_sale_orders` tool provides a complete history of outbound shipments to your Google ADK agent. The model scans thousands of order lines to detect buying patterns or sudden drops in customer demand. If an order looks suspicious, the agent triggers `get_sale_order_details` to inspect the line items. This workflow keeps your warehouse operations synchronized with your cloud-hosted business intelligence systems.

Setup guide

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

Use the toolset class to point to your Vinkius HTTP transport URL. Pass this toolset to your agent constructor to instantly expose tools like `list_logistics_customers`.

Yes. Apply the tool name filter during initialization to restrict your agent's capabilities. For example, you can expose only `get_product_stock` while hiding billing tools.

Yes. The Gemini model calls `get_sale_order_details` on demand to fetch live data during customer service chats. This removes the need to sync databases to Google Cloud.

This setup supports both stdio and streamable HTTP transport options. For cloud-hosted enterprise agents, the streamable HTTP option is the standard choice.

Your transport data and invoices pass through ephemeral, zero-trust sandboxes. The connection uses single-token authentication to ensure your warehouse records never leak into public training sets.

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