How do I add a new tracking number?

Use the `create_tracking` tool and provide the tracking number and the courier slug (e.g., 'fedex', 'dhl'). Your agent will add it to AfterShip and start monitoring the status.

Can the agent automatically detect the courier?

Yes! Use the `detect_courier` tool with any tracking number. AfterShip will analyze the format and return a list of potential carrier matches.

What tracking statuses are supported?

AfterShip normalizes tracking data into standard statuses: Pending, In Transit, Out for Delivery, Delivered, Exception, and Failed Attempt.

AfterShip Tracking MCP Server for Google ADK 5 tools — connect in under 2 minutes

Name: AfterShip Tracking
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 5 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add AfterShip Tracking as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="aftership_tracking_agent",
    instruction=(
        "You help users interact with AfterShip Tracking "
        "using 5 available tools."
    ),
    tools=[mcp_tools],
)

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About AfterShip Tracking MCP Server

Connect your AfterShip Tracking account to your AI agent to unlock professional logistics orchestration and real-time delivery monitoring. From adding new tracking numbers across 600+ couriers to auditing shipment statuses and detecting carriers automatically, your agent handles your shipping operations through natural conversation.

Google ADK natively supports AfterShip Tracking as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Shipment Orchestration — Create and manage tracking records for any package using tracking numbers and carrier slugs
Real-time Status Auditing — Retrieve detailed technical metadata for shipments, including current location and delivery estimates
Courier Management — List active couriers in your account and automatically detect the carrier for any tracking number
Logistics Oversight — Monitor your entire shipping pipeline and identify delayed or exception shipments directly from chat
Delivery Insights — Quickly retrieve historical tracking data to support customer inquiries and supply chain analysis

The AfterShip Tracking MCP Server exposes 5 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect AfterShip Tracking to Google ADK via MCP

Follow these steps to integrate the AfterShip Tracking MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 5 tools from AfterShip Tracking via MCP

Why Use Google ADK with the AfterShip Tracking MCP Server

Google ADK provides unique advantages when paired with AfterShip Tracking through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with AfterShip Tracking

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine AfterShip Tracking tools with BigQuery, Vertex AI, and Cloud Functions

AfterShip Tracking + Google ADK Use Cases

Practical scenarios where Google ADK combined with the AfterShip Tracking MCP Server delivers measurable value.

Enterprise data agents: ADK agents query AfterShip Tracking and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine AfterShip Tracking tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query AfterShip Tracking regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including AfterShip Tracking

AfterShip Tracking MCP Tools for Google ADK (5)

These 5 tools become available when you connect AfterShip Tracking to Google ADK via MCP:

create_tracking

detect_courier

Analyze a raw tracking number format to automatically identify the likely carriers routing it

get_tracking_details

Retrieve highly accurate real-time location updates and the current delivery status for an AfterShip tracking ID

list_couriers

Retrieve the subset of shipping couriers that are currently actively enabled in your AfterShip account

list_trackings

g. InTransit). Retrieve all active and historical tracked shipments currently monitored by AfterShip

Example Prompts for AfterShip Tracking in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with AfterShip Tracking immediately.

"Track this FedEx package: 123456789012."

"Identify the carrier for tracking number '9400100000000000000000'."

"Show me all shipments with an 'Exception' status."

Troubleshooting AfterShip Tracking MCP Server with Google ADK

Common issues when connecting AfterShip Tracking to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

AfterShip Tracking + Google ADK FAQ

Common questions about integrating AfterShip Tracking MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.