How to Use the Nuvemshop MCP in Google ADK

Q: How does Google ADK handle long context with Nuvemshop data?

Gemini can ingest your entire order history from listorders in a single call. The model parses thousands of transaction rows to find trends without hitting token limits or requiring complex vector databases.

Q: How does this MCP Server secure my Nuvemshop product prices and store configurations?

All store data retrieved via getstore or product queries passes through ephemeral V8 sandboxes on Vinkius. Your API tokens and catalog details are never stored or used to train Google's models.

Connect your Google ADK enterprise agents directly to Nuvemshop via MCP to manage catalog data alongside BigQuery store metrics.

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Connect Nuvemshop MCP to Google ADK

Create your Vinkius account to connect Nuvemshop 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 Nuvemshop with Google ADK

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Sync Nuvemshop products with Google ADK data pipelines

Your enterprise agent uses `list_products` and `list_variants` to pull your complete store catalog into Gemini's massive one-million-token context window. This allows the model to analyze thousands of SKUs simultaneously, checking for pricing discrepancies or incomplete descriptions. When the agent identifies an issue based on your BigQuery sales data, it executes `update_product` to correct prices instantly. Because the ADK runs natively on Google Cloud, you can trigger these catalog updates automatically whenever your warehouse databases sync.

Manage Nuvemshop orders through Google ADK workflows

This MCP Server provides `list_orders` and `get_order` to let Gemini agents track fulfillment status directly from your console. The agent reads incoming order data, matches it against shipping parameters, and runs `update_order` to mark items as fulfilled. By combining these tools with Vertex AI, your agent can predict delivery bottlenecks before they happen. If a delay occurs, the agent uses `get_customer` to find contact info and update the order notes to keep your support team informed.

Configure marketing triggers using Google ADK

Your agent establishes real-time event listeners by running `create_webhook` to capture store events as they happen. If you need to clean up old endpoints, the agent calls `list_webhooks` and executes `delete_webhook` to keep your system tidy. To drive sales during low-traffic periods, the agent generates custom discounts using `create_coupon`. It verifies active campaigns with `list_coupons` to ensure you never run overlapping promotions that hurt your profit margins.

Setup guide

Set up Nuvemshop 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 Nuvemshop 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="Nuvemshop_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Nuvemshop tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Nuvemshop MCP in Google ADK

Import the McpToolset class from the python package and pass your Vinkius HTTP transport URL. You then include this toolset in your LlmAgent configuration so Gemini can access all 24 store tools.

Yes, the ADK supports a tool names filter during initialization. You can explicitly expose safe tools like `list_products` while hiding destructive actions like `delete_product` from the agent's active toolset.

Gemini can ingest your entire order history from `list_orders` in a single call. The model parses thousands of transaction rows to find trends without hitting token limits or requiring complex vector databases.

The ADK handles transport-level retries for the HTTP connection. If the timeout persists, the framework returns a clean error state to the agent, allowing your workflow to log the issue in Cloud Logging.

All store data retrieved via `get_store` or product queries passes through ephemeral V8 sandboxes on Vinkius. Your API tokens and catalog details are never stored or used to train Google's models.

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