How to Use the Walmart Orders & Fulfillment MCP in Google ADK

Q: What is the best way to process refunds for Walmart Orders & Fulfillment with Google ADK?

The agent uses wmissuerefund. Because of its connection to enterprise data, it ensures the refund logic maps precisely against your existing financial records stored in BigQuery.

Act on Walmart Orders & Fulfillment data with the Google ADK in a secure enterprise environment.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Walmart Orders & Fulfillment MCP to Google ADK

Create your Vinkius account to connect Walmart Orders & Fulfillment 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

Setup Walmart Orders & Fulfillment with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Audit Order Statuses using MCP Server

Start by calling `wm_get_unshipped_orders` to extract all active bounds awaiting fulfillment. You can then use this data alongside other BigQuery sources in your agent flow. This gives Gemini a complete view of the backlog, letting it decide which orders need immediate attention.

Process Shipping and Tracking via Google ADK

The `wm_ship_order_lines` tool executes the necessary tracking updates when items ship. Afterward, you can use `wm_track_shipment` to simulate and capture the explicit physical routes for record-keeping. It's a two-step process that confirms both the dispatch and the journey.

Handling Returns and Cancellations

When you need to manage returns, first use `wm_get_return_requests` to pull all necessary return limits. If an order needs immediate cancellation before it ships, simply invoke `wm_cancel_order`. This keeps your agent grounded in real-time inventory and customer action data.

Setup guide

Set up Walmart Orders & Fulfillment 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 Walmart Orders & Fulfillment 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="Walmart Orders & Fulfillment_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Walmart Orders & Fulfillment 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 Walmart Orders. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Walmart Orders & Fulfillment now

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

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 Walmart Orders & Fulfillment MCP in Google ADK

Because of its native integration with BigQuery, your agent can pull raw order data and then use the MCP Server tools—like `wm_get_unshipped_orders`—to perform actions directly on that structured data.

The server provides defined operational steps. You can map the full fulfillment cycle: from fetching unfulfilled orders, to labeling (`wm_download_shipping_labels`), and finally shipping.

Yes. You pass the toolset directly to your LlmAgent, allowing Gemini's long-context reasoning model to decide exactly when and how to call functions like `wm_issue_refund`.

The agent uses `wm_issue_refund`. Because of its connection to enterprise data, it ensures the refund logic maps precisely against your existing financial records stored in BigQuery.

This server touches core Order Data. This includes purchase bounds, return requests, and fulfillment logistics that require precise tracking updates using tools like `wm_ship_order_lines`.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript