How to Use the Medusa (Headless E-commerce Engine) MCP in Google ADK

Q: How do I initialize the Medusa (Headless E-commerce Engine) MCP Server within Google ADK?

Instantiate McpToolset using your HTTP endpoint parameters and pass it to your LlmAgent. You can also filter specific tools using the toolnames option to limit agent access.

Q: Can I restrict my Google ADK agent from accessing financial tools like capturepayment?

Yes. Use the toolnames filter in your McpToolset configuration to exclude capturepayment entirely, keeping your agent focused solely on catalog tasks.

Q: How does Google ADK handle international store settings?

Your agent queries listregions and getstoreconfig to understand active currencies and tax structures. This lets the model format regional offers correctly within its long-context window.

Q: Can I link Medusa (Headless E-commerce Engine) data to BigQuery using this MCP Server with Google ADK?

Yes. Your Google ADK agent can fetch live data using listorders and write structured payloads directly into BigQuery tables for real-time reporting.

Connect Medusa (Headless E-commerce Engine) to Google ADK to run large-scale store operations using Gemini and our managed MCP Server.

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Connect Medusa (Headless E-commerce Engine) MCP to Google ADK

Create your Vinkius account to connect Medusa (Headless E-commerce Engine) 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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Setup Medusa (Headless E-commerce Engine) with Google ADK

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Deep context catalog analysis with Google ADK

The `list_products` tool exposes your entire inventory data to Gemini's million-token context window. Instead of making dozens of paginated API calls, your agent ingests whole collections via `list_collections` in a single turn. This setup lets you cross-reference your live Medusa catalog with historical sales datasets stored in BigQuery. The agent identifies underperforming variants by comparing live prices from `get_product` with your warehouse metrics.

Enterprise order reconciliation via MCP Server tools

The `list_orders` tool feeds raw order records directly into your Google Cloud data pipeline. Your agent uses `get_order` to pull granular shipping addresses and line items, matching them against external logistics APIs. By running these checks inside your GCP environment, you automate fulfillment audits. The agent flags discrepancies between Medusa payment states and actual delivery receipts without manual intervention.

Automated customer segment mapping

The `list_customers` tool lets your agent retrieve CRM profiles to build targeted outreach lists. Your model queries `get_customer` to map specific customer behaviors directly to your Vertex AI machine learning models. This bridges the gap between your store's backend and your enterprise marketing tools. You get automated segmentation based on real purchase histories without exporting CSVs.

Setup guide

Set up Medusa (Headless E-commerce Engine) 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

Install Google ADK

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

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

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 Medusa (Headless E-commerce Engine) 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="Medusa (Headless E-commerce Engine)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Medusa (Headless E-commerce Engine) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Medusa (Headless E-commerce Engine) MCP in Google ADK

Instantiate `McpToolset` using your HTTP endpoint parameters and pass it to your `LlmAgent`. You can also filter specific tools using the `tool_names` option to limit agent access.

Yes. Use the `tool_names` filter in your `McpToolset` configuration to exclude `capture_payment` entirely, keeping your agent focused solely on catalog tasks.

Your agent queries `list_regions` and `get_store_config` to understand active currencies and tax structures. This lets the model format regional offers correctly within its long-context window.

Yes. Your Google ADK agent can fetch live data using `list_orders` and write structured payloads directly into BigQuery tables for real-time reporting.

Vinkius manages the connection using zero-trust, ephemeral sessions. Customer details from `get_customer` pass through secure HTTPS tunnels directly to your Google Cloud environment without being cached.

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