How to Use the eBay Shopper MCP in OpenAI Agents SDK

Q: How do I connect the eBay Shopper MCP Server to the OpenAI Agents SDK?

Install the package using pip install openai-agents and initialize MCPServerStreamableHttp with your endpoint URL. Pass the server instance inside the mcpservers list when creating your Agent. The SDK automatically discovers all 10 tools from this MCP server.

Q: Can the OpenAI Agents SDK handle visual eBay Shopper searches?

Yes, your agent can use the searchbyimage tool by passing an image URL. The SDK processes the request and returns visually similar items with prices and direct item IDs.

Q: How do I handle pagination when searching eBay categories?

Use the searchbycategory tool along with the limit and offset parameters in your agent's tool call. This lets your agent page through large category listings without hitting API limits or timing out.

Get real-time eBay listing and shipping details straight to your OpenAI Agents SDK workflow with this MCP Server.

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Connect eBay Shopper MCP to OpenAI Agents SDK

Create your Vinkius account to connect eBay Shopper 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.

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Setup eBay Shopper with OpenAI Agents SDK

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Build guardrails around eBay product searches

Your OpenAI Agents SDK setup can now run safe, structured searches using the `search_items` tool. The agent automatically discovers how to query listings by keyword, brand, or name, then filters the results safely within your streamable HTTP connection to this MCP. Before executing any action, the SDK's built-in guardrails validate the item IDs returned by `get_item_details`. This keeps your agent from pulling hallucinated product specs or outdated pricing from the eBay catalog.

Run multi-agent shipping and compatibility checks

Hand off complex tasks between specialized agents to handle dirty logistics data, starting with the `get_categories` tool. One agent can fetch the parts catalog, while a second agent calls `get_item_compatibility` to make sure an auto part fits the target vehicle. A third specialized agent can run `get_shipping_estimate` to calculate the final cost before purchase. You can trace this entire multi-agent handoff and tool execution pipeline directly inside your OpenAI dashboard.

Inspect merchant inventory using OpenAI MCP Server tools

Inspect seller metrics by pointing your agent at the `get_merchant_item_details` tool. This gives your agent the raw data it needs to evaluate seller performance and inventory levels without manual browser searching. Combine this with `get_item_reviews` and `get_item_rating` to filter out shady merchants. The OpenAI Agents SDK caches this tool list using `cacheToolsList=True` so your agent responds instantly during high-volume research.

Setup guide

Set up eBay Shopper MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all eBay Shopper tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives eBay Shopper tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate eBay Shopper tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="eBay Shopper Agent",
            instructions="You have access to eBay Shopper tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 eBay Shopper. 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 eBay Shopper MCP in OpenAI Agents SDK

Install the package using `pip install openai-agents` and initialize `MCPServerStreamableHttp` with your endpoint URL. Pass the server instance inside the `mcp_servers` list when creating your Agent. The SDK automatically discovers all 10 tools from this MCP server.

Yes, your agent can use the `search_by_image` tool by passing an image URL. The SDK processes the request and returns visually similar items with prices and direct item IDs.

You can write custom guardrails in Python that check the output of `get_item_compatibility` or `get_shipping_estimate` before the agent proceeds. The SDK stops execution if the agent attempts to recommend an incompatible part or an item with excessive shipping fees.

Use the `search_by_category` tool along with the `limit` and `offset` parameters in your agent's tool call. This lets your agent page through large category listings without hitting API limits or timing out.

No, the server runs in a zero-trust V8 Isolate sandbox and does not store your eBay search queries or item IDs. All data is ephemeral, meaning your product queries and shipping calculations vanish as soon as the session closes.

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