How to Use the AfterShip Returns MCP in Google ADK

Q: How do I connect AfterShip Returns to my Google ADK agent?

It's a few lines of code. You import McpToolset and initialize it with your Vinkius MCP endpoint URL. Then you pass it into the tools parameter when creating your LlmAgent.

Q: Can I filter which AfterShip Returns tools my Google ADK agent sees?

Yes, the McpToolset constructor accepts a toolnames argument. You can pass a list of strings like 'listreturns', 'getreturndetails' to expose only those specific tools to your agent.

Connect Google ADK agents to AfterShip Returns. Process RMAs using your data in BigQuery and the power of Gemini.

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Connect AfterShip Returns MCP to Google ADK

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

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Correlate Returns with Enterprise Data

Use `list_returns` to pull all your pending and historical RMAs. A Gemini-powered agent can hold this entire list in its context window for analysis, which other models just can't do. Then, your agent can cross-reference that return data with customer history in BigQuery. The Google ADK makes this connection simple. You can finally figure out if high-value customers are returning items frequently, all within a single agent.

Trigger Logistics from Google Cloud

Your agent can act on its findings directly. It can use `approve_return` to authorize a return and generate a shipping label, or call `receive_items` to log a package at the warehouse. This isn't just about reading data; it's about taking action. You can build a process where an agent, running on Google Cloud, identifies a return, checks it against BigQuery data, and approves it without any human intervention. This MCP Server provides the tools to make it happen.

Enterprise Automation with Google ADK

The `McpToolset` makes adding these AfterShip tools to your `LlmAgent` dead simple. It fits right into your existing Google Cloud workflow. You don't have to learn a new system. This MCP Server provides the specific functions your agent needs to interact with AfterShip. The ADK provides the enterprise-grade environment and data connections. It's how you move from a simple chatbot to an autonomous agent that manages a core part of your e-commerce operations.

Setup guide

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

It's a few lines of code. You import `McpToolset` and initialize it with your Vinkius MCP endpoint URL. Then you pass it into the `tools` parameter when creating your `LlmAgent`.

Yes, the `McpToolset` constructor accepts a `tool_names` argument. You can pass a list of strings like `['list_returns', 'get_return_details']` to expose only those specific tools to your agent.

You can build agents that automatically approve returns for VIP customers stored in BigQuery. Or, create a system that flags returns from users with a high return rate. You can also automate the check-in process by having an agent call `receive_items` when a package is scanned at your warehouse.

Yes, it's designed for the Gemini ecosystem. The Google ADK lets you pair the long-context reasoning of Gemini with the concrete actions provided by this MCP Server's tools.

The connection is secured by your Vinkius endpoint token. The server processes specific return data like RMA details and logistics status within an isolated environment for each request. It inherits the security posture of your Google Cloud environment, and Vinkius ensures the server itself is ephemeral and secure.

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