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How to Use the eBay Seller MCP in Google ADK

Scale enterprise eBay store management with Google ADK and Gemini long-context reasoning.

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Google ADK

Connect eBay Seller MCP to Google ADK

Create your Vinkius account to connect eBay Seller 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.

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Analyze Bulk Inventory with Google ADK

This system runs `list_inventory` and `update_inventory` to manage massive product catalogs directly from your database. Gemini's million-token context window analyzes your entire warehouse stock level in one pass, identifying slow-moving items. The Google ADK connects these tools to your BigQuery data, matching sales trends with your live stock levels. The agent updates your inventory details and pricing automatically based on warehouse changes.

Process Massive Order Volumes via Gemini

We use `get_orders` and `get_order_details` to feed real-time order states into your enterprise data pipelines. The agent retrieves pending orders, parses buyer shipping instructions, and maps them to your fulfillment center. Because Google ADK handles huge payloads easily, your agent can process hundreds of orders in a single run. It cross-references buyer addresses against Google Maps API to prevent shipping errors before they happen.

Google ADK automates eBay listing lifecycles

The agent executes `list_listings` and `delete_listing` to prune dead stock and end underperforming auctions automatically. It regularly checks which listings are active and compares their performance against historical BigQuery data. This MCP Server integration lets Gemini make informed choices about which fixed-price listings to close. It ensures your store only pays insertion fees for items that actually convert.

Setup guide

Set up eBay Seller 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 eBay Seller 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="eBay Seller_agent",
    model="gemini-2.0-flash",
    instruction="You have access to eBay Seller tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by eBay Seller. 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 Seller MCP in Google ADK

Install the ADK and use the `McpToolset` class with your HTTP server parameters to expose the tools. Pass this toolset directly to your `LlmAgent` constructor. You can also use the tool names filter to restrict access to sensitive tools like `delete_inventory`.
Yes, you can write Python scripts that pull historical sales data from BigQuery and feed it to a Gemini agent. The agent then calls `update_listing` to adjust prices on eBay based on your enterprise analytics.
The ADK relies on the underlying MCP Server to manage API connection states and handle throttling. If eBay starts rate-limiting your calls, the server manages the backoff, ensuring your Gemini agent doesn't drop active connections during bulk operations.
You can instruct your Gemini agent to call `get_order_details` to fetch the shipping address. The agent can run that address through Google Maps API before executing `ship_order` to verify the buyer's location is valid.
Customer addresses retrieved via `get_order_details` are processed in memory and never stored on Google Cloud or Vinkius servers. The MCP Server runs in an Ephemeral V8 Sandbox that ensures all buyer data is wiped from the container the moment the tool execution completes.

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