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How to Use the ShipEngine MCP in Google ADK

Build enterprise logistics agents using Google ADK and ShipEngine's full toolset.

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Vinkius runs on Google ADK

Connect ShipEngine MCP to Google ADK

Create your Vinkius account to connect ShipEngine 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.

GDPR Free for Subscribers

Key Capabilities

Calculate global shipping rates fast

If your agent needs to know the cost, use `get_shipping_rates`. You pass the package details—weight, dimensions, and destination—and the tool returns a comparison of services from many major carriers. The Google ADK integrates this finding directly into its long-context reasoning. It keeps track of every rate structure so you can reason about cost against reliability.

Manage labels and shipment records

Need to log a package? Call `create_shipment_object` first. This establishes the record in your workflow. Following that, use `create_shipping_label` to generate the physical label file needed for printing. The agent manages both these steps, ensuring that the created shipment object matches the generated label metadata using `get_label_info`.

Track and verify any package status

To check where a package is, use `track_package`. Just provide the tracking number. The tool executes the carrier lookup against its API connections. The agent can then take that raw tracking data and compare it to expected delivery windows, giving you a much deeper insight than just a status text.

Setup guide

Set up ShipEngine 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 ShipEngine 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="ShipEngine_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ShipEngine tools via MCP.",
    tools=mcp_tools,
)

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

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ShipEngine MCP in Google ADK

You register the toolset within your LlmAgent definition. The agent's native BigQuery integration allows it to pull historical shipment data before calling `get_shipping_rates` for a real-time comparison.
Yes, you can loop through a list of addresses. Calling `validate_address` on each point ensures that every destination is viable before committing to generating any labels or shipments.
The server processes shipping address details, package dimensions, and carrier connectivity information. This includes all location-specific data required for the `validate_address` tool.
Just use the `list_shipments` tool. The agent pulls this manifest of records, which you can then feed into BigQuery for advanced analysis or reporting.
Not really. You call `get_shipping_rates` once, providing the necessary parameters. The agent handles the multi-carrier API calls and consolidates all the pricing data for you.

Start using the ShipEngine MCP today

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Built & Managed by Vinkius 30s setup 12 tools

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