How to Use the Coppel MCP in Google ADK

Q: Does the Google ADK support BigQuery integration for Coppel data?

Absolutely. Your agent can pull store listings using liststores and load them directly into BigQuery tables using standard Google Cloud SDK libraries.

Q: How does the agent handle weekly payment plans?

The agent checks available credit limits using getcustomercredit before drafting an order. It then configures weekly abonos through createorder based on what the customer can afford.

Run Gemini enterprise agents on Google Cloud to manage Coppel orders and check credit via the Google ADK using this MCP Server.

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Connect Coppel MCP to Google ADK

Create your Vinkius account to connect Coppel 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 Coppel with Google ADK

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Analyze Coppel inventory with Google ADK

The `list_products` tool extracts the full catalog of electronics, furniture, and clothing into your Google ADK environment for heavy-duty data analysis. Your Gemini models use their massive context window to process thousands of retail items in a single pass. You can feed this product data directly into BigQuery to spot regional demand trends. The agent connects to the live MCP endpoint, pulls active pricing, and updates your enterprise database without manual data entry.

Audit customer credit and payment histories

The `list_payments` tool retrieves historical transaction records, weekly installment details, and cash receipts for any customer account. Your Google ADK agent cross-references these payments against your internal financial sheets to flag discrepancies. When analyzing high-risk accounts, the agent calls `get_customer_credit` to evaluate active credit lines. This lets your enterprise system automate collections and credit adjustments based on real-time Mexican retail activity.

Automate regional store logistics

The `list_stores` tool lets your agent query physical store locations across Mexico by state using the Google ADK transport layer. This allows your logistics agent to map out distribution routes from stores in Jalisco or CDMX directly to customer addresses. Once a store is selected, the agent calls `get_store` to get operational details. This keeps your supply chain automated, linking physical inventory locations to the digital ordering pipeline.

Setup guide

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

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Common questions about Coppel MCP in Google ADK

Instantiate the McpToolset with your Vinkius HTTP URL and pass it to your LlmAgent tools list. The ADK handles the underlying protocol so your Gemini models can call the retail tools immediately.

Yes. You can apply a tool name filter when setting up the McpToolset to restrict access. For example, you can expose only `search_products` while blocking ordering tools.

Absolutely. Your agent can pull store listings using `list_stores` and load them directly into BigQuery tables using standard Google Cloud SDK libraries.

The agent checks available credit limits using `get_customer_credit` before drafting an order. It then configures weekly abonos through `create_order` based on what the customer can afford.

Vinkius routes all API traffic through ephemeral, single-use containers. Your transaction records, bank references, and payment amounts are encrypted in transit and never stored on Vinkius disks.

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