How to Use the eBay Shopper MCP in AutoGen
Let AutoGen agents debate prices, shipping costs, and item compatibility using live eBay data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect eBay Shopper MCP to AutoGen
Create your Vinkius account to connect eBay Shopper to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Coordinate buyer and seller agents with this MCP Server
The `get_merchant_item_details` tool provides backend inventory data that your merchant agent can analyze. Meanwhile, a separate buyer agent can run `search_items` to find competitive listings on the open market. These two AutoGen agents can debate pricing strategies in a group chat. By comparing merchant stock levels with public search results, they can autonomously decide whether to adjust a listing price or purchase more inventory.
Resolve fitment debates using item compatibility checks
The `get_item_compatibility` tool provides the exact vehicle fitment list for automotive parts listings. In AutoGen, a mechanic agent can check compatibility while a procurement agent checks the budget. If the mechanic agent runs the compatibility tool and finds a match, it signals the procurement agent to proceed. This multi-agent verification prevents your system from ordering parts that won't fit the target vehicle.
Calculate total landed cost via agent collaboration
The `get_shipping_estimate` tool calculates real-time shipping fees and delivery dates. In an AutoGen group, a logistics agent can pull these estimates while a shopper agent monitors the base price. The agents collaborate to calculate the true total cost of an item. If the shipping estimate is too high or the delivery date is too late, the shopper agent runs `search_by_category` to find a local seller with better terms.
Set up eBay Shopper MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes eBay Shopper tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="eBay Shopper_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent eBay Shopper data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="eBay Shopper_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent eBay Shopper data")
print(result.messages[-1].content) 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 AutoGen
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