How do I find my AfterShip API Key?

Log in to your AfterShip account, navigate to **Settings** > **API Keys**. You can generate a new API key there. This key works for both Returns and Tracking APIs.

Can I approve a return request via the agent?

Yes! Use the `approve_return` tool and provide the Return ID. Your agent will update the status in AfterShip, which can also trigger automatic label generation if configured.

Does this support marking items as received?

Yes, you can use the `receive_items` tool to record which items from an RMA have arrived at your warehouse and their current condition grade.

AfterShip Returns MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes

Name: AfterShip Returns
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 4 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect AfterShip Returns through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="AfterShip Returns Assistant",
            instructions=(
                "You help users interact with AfterShip Returns. "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from AfterShip Returns"
        )
        print(result.final_output)

asyncio.run(main())

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About AfterShip Returns MCP Server

Connect your AfterShip Returns account to your AI agent to unlock professional returns management and customer experience orchestration. From auditing pending return requests to approving RMAs and generating shipping labels, your agent handles your reverse logistics through natural conversation.

The OpenAI Agents SDK auto-discovers all 4 tools from AfterShip Returns through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AfterShip Returns, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Return Request Management — List and audit return requests from customers and check their approval status
RMA Orchestration — Retrieve detailed technical metadata for specific RMAs, including item details and reasons for return
Label Generation Support — Monitor shipment creation and retrieve tracking information for return packages
Logistics Oversight — Mark items as received and grade their condition to streamline your warehouse workflow
Process Insights — Quickly identify common return reasons or identify bottlenecks in your return policy directly from chat

The AfterShip Returns MCP Server exposes 4 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Returns to OpenAI Agents SDK via MCP

Follow these steps to integrate the AfterShip Returns MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 4 tools from AfterShip Returns

Why Use OpenAI Agents SDK with the AfterShip Returns MCP Server

OpenAI Agents SDK provides unique advantages when paired with AfterShip Returns through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

AfterShip Returns + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the AfterShip Returns MCP Server delivers measurable value.

Automated workflows: build agents that query AfterShip Returns, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries AfterShip Returns, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through AfterShip Returns tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query AfterShip Returns to resolve tickets, look up records, and update statuses without human intervention

AfterShip Returns MCP Tools for OpenAI Agents SDK (4)

These 4 tools become available when you connect AfterShip Returns to OpenAI Agents SDK via MCP:

approve_return

This allows the customer to ship the item back. Authorize a pending return request to immediately trigger generating the return shipping label

get_return_details

Retrieve the granular items, return reasons, and current logistics status for a specific RMA

list_returns

Retrieve pending or historical customer return requests and their processing statuses

receive_items

Record the arrival and physical grading condition of returned items arriving at the warehouse

Example Prompts for AfterShip Returns in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with AfterShip Returns immediately.

"List all pending return requests from the last 48 hours."

"Approve return request ID 'ret_abc123'."

"Show me details for RMA number 'RMA-98765'."

Troubleshooting AfterShip Returns MCP Server with OpenAI Agents SDK

Common issues when connecting AfterShip Returns to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

AfterShip Returns + OpenAI Agents SDK FAQ

Common questions about integrating AfterShip Returns MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.