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How to Use the Jumpseller MCP in Google ADK

Connect Gemini models to your Jumpseller store using Google ADK to analyze massive product catalogs.

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Google ADK

Connect Jumpseller MCP to Google ADK

Create your Vinkius account to connect Jumpseller 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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Feed Jumpseller catalogs to Gemini via Google ADK

The Jumpseller `list_products` tool retrieves product names, SKUs, and prices directly into your Google ADK Python execution context. This direct integration lets your Google ADK agent process entire Jumpseller catalogs within Gemini's long-context window. You can cross-reference Jumpseller catalog data by calling `get_product` to pull deep variant details into your Google ADK workflow. This Google ADK setup lets you run bulk Jumpseller categorization tasks without hitting typical token limits.

Map Jumpseller shipping and payment logic in BigQuery

The Jumpseller `list_shipping_methods` tool retrieves configured carriers and fulfillment configurations for your Google ADK agent. Your Google ADK agent pulls this Jumpseller data to compare active shipping options against warehouse logs. By combining Jumpseller `list_payment_methods` with Google ADK tools, the agent maps checkout configurations directly to BigQuery. This allows your Google ADK pipeline to analyze live Jumpseller checkout options alongside historical sales data.

Monitor Jumpseller order queues using this MCP Server

The Jumpseller `list_orders` tool provides real-time access to order IDs and fulfillment statuses for your Google ADK agent. Your Google ADK agent uses this Jumpseller tool to poll for new transactions and trigger automated shipping workflows. When a Jumpseller order needs inspection, the Google ADK agent invokes `get_order` to pull delivery addresses and customer notes. Operating as a Jumpseller MCP Server, this setup ensures your Google ADK agent gets raw JSON payloads directly from your store.

Setup guide

Set up Jumpseller 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 Jumpseller 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="Jumpseller_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Jumpseller 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 Jumpseller. 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 Jumpseller MCP in Google ADK

You initialize the connection using `McpToolset` with your Jumpseller Vinkius HTTP URL inside your Google ADK Python environment. The Google ADK agent then auto-discovers Jumpseller tools like `get_store_info` and exposes them directly to your Gemini model via the MCP protocol.
This specific integration is built around read-only Jumpseller tools like `list_customers` and `get_product` to keep your store safe. Your Google ADK agent can read Jumpseller configuration and order details but cannot modify live inventory or change order statuses.
You pass a list of allowed Jumpseller tool names to the `McpToolset` constructor in your Google ADK Python code. This lets you restrict Google ADK access to sensitive Jumpseller tools like `list_customers` while keeping product tools available.
Yes, the Google ADK supports both Stdio and Streamable HTTP transports. You can run your Google ADK agent in Google Cloud Functions and connect to the MCP Server via a secure HTTP endpoint.
All Jumpseller customer details, including names and emails fetched by `list_customers`, are processed within ephemeral V8 isolates. The Google ADK agent handles this Jumpseller data in memory, ensuring that no customer profiles are cached on external servers.

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