How to Use the AfterShip Tracking MCP in Google ADK

Q: How do I set up AfterShip Tracking with the Google ADK?

Install the SDK and initialize the McpToolset with your Vinkius HTTP transport URL. Pass this toolset into your LlmAgent tools array to expose the shipping tools to Gemini.

Q: How do I restrict tool access for AfterShip Tracking in Google ADK?

Use the optional toolnames filter when instantiating your McpToolset. This lets you expose only gettrackingdetails to read-only customer support agents while hiding write operations.

Connect AfterShip Tracking to Google ADK to analyze shipping data and run enterprise logistics agents.

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Connect AfterShip Tracking MCP to Google ADK

Create your Vinkius account to connect AfterShip Tracking 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 AfterShip Tracking with Google ADK

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Connect logistics data to BigQuery with Google ADK

The `list_trackings` tool on this MCP Server connects your Gemini-powered agents to live shipment data. Your agent executes the query to pull active and historical delivery data, which it can then cross-reference with sales records stored in BigQuery. Combining these datasets allows you to spot delivery delays before customers complain. Because Gemini handles massive contexts, you can feed thousands of shipment statuses into a single reasoning loop.

Identify carriers automatically in enterprise pipelines

The `detect_courier` tool analyzes raw tracking numbers to find the correct carrier. When your Google ADK agent processes bulk shipping manifests from external suppliers, it runs this tool to categorize each shipment. This eliminates manual sorting of incoming tracking lists. The agent then calls `create_tracking` to start monitoring the packages without requiring human developers to map tracking formats to specific couriers.

Real-time package monitoring for Vertex AI agents

The `get_tracking_details` tool on this MCP Server retrieves the exact location and current status of any shipment. Your enterprise agent uses this data to trigger automated customer notifications or update internal dashboards. You can restrict which tools are exposed by using the `tool_names` filter in the `McpToolset`. This ensures your customer-facing agents can only read tracking data, while backend agents retain write access to register new shipments.

Setup guide

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

Install the SDK and initialize the `McpToolset` with your Vinkius HTTP transport URL. Pass this toolset into your `LlmAgent` tools array to expose the shipping tools to Gemini.

Yes. Gemini's million-token context window allows you to pull historical shipments via `list_trackings` and feed the entire list to the model for delay pattern analysis.

Use the optional `tool_names` filter when instantiating your `McpToolset`. This lets you expose only `get_tracking_details` to read-only customer support agents while hiding write operations.

The integration supports both Stdio and HTTP transports. For hosted cloud agents on Vertex AI, the Streamable HTTP transport is recommended.

Yes. All tracking numbers and carrier details pass through a zero-trust, isolated sandbox. Vinkius handles the API authentication securely, ensuring your AfterShip credentials never leak to the LLM or external networks.

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