How to Use the Walmart Orders & Fulfillment MCP in OpenAI Agents SDK
Handle end-to-end Walmart Orders & Fulfillment processes with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Walmart Orders & Fulfillment MCP to OpenAI Agents SDK
Create your Vinkius account to connect Walmart Orders & Fulfillment to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Fulfill and Track Orders via MCP Server
You can use `wm_get_unshipped_orders` to pull a clean list of orders ready for fulfillment. Then, call `wm_ship_order_lines` to execute the tracking updates across multiple items. This pairing lets your agent fully manage logistics, capturing explicit movement by executing shipping matrices and confirming what's actually moving out the door.
Manage Returns and Refunds with OpenAI Agents SDK
When a customer needs to return something, start by running `wm_get_return_requests` to parse the necessary data. Following that, use `wm_issue_refund` to map standard logic directly onto financial limits. This workflow handles the entire cycle: from knowing what's coming back to actually processing the money owed.
Complete Order Lifecycle Management
A single agent can control the order lifecycle. You might start by calling `wm_acknowledge_order` once a purchase moves into processing. If things go wrong, you can use `wm_cancel_order` to securely restrict those variables. It's about building safety guards around every step—you don't want an incomplete fulfillment process.
Set up Walmart Orders & Fulfillment MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Walmart Orders & Fulfillment tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Walmart Orders & Fulfillment tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Walmart Orders & Fulfillment tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Walmart Orders & Fulfillment Agent",
instructions="You have access to Walmart Orders & Fulfillment tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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.
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Common questions about Walmart Orders & Fulfillment MCP in OpenAI Agents SDK
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