How to Use the Conta Azul MCP in Google ADK

Q: How do I limit the Google ADK to read-only tools on Conta Azul?

You define a toolnames filter when initializing the McpToolset in your Python script. This prevents the Google ADK from invoking write operations like createservice, restricting it to lookup tools only.

Run Gemini agents on Google Cloud to manage Conta Azul sales, products, and services using the Google ADK.

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Connect Conta Azul MCP to Google ADK

Create your Vinkius account to connect Conta Azul 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 Conta Azul with Google ADK

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Map physical products with Google ADK

The `create_product` tool maps physical items and defines their faturable components in Brazilian Real directly inside your ERP. Your Google ADK agent parses raw catalog data from BigQuery and updates the ERP inventory in real-time using this MCP Server. Using `list_products`, the Gemini model analyzes your SKU listings to identify pricing discrepancies across your warehouse. This keeps your physical inventory synced with your Brazilian accounting ledger.

Track Service Revenue and DRE Accounts

The `list_services` tool pulls active, billable service structures into your Google ADK workflow. This allows the Gemini model to process complex service contracts and verify that every hour billed aligns with your accounting rules. When generating financial reports, the agent calls `list_categories` to feed the core DRE structure into Vertex AI. Your agent then maps these categories to your cloud database for instant margin analysis.

Reconcile Bank Transactions via Google ADK

The `list_bank_accounts` tool extracts active monetary positions from your physical Brazilian bank integrations into the Google ADK. Your agent uses this data to match cash flow with outstanding sales invoices. To resolve mismatches, the agent invokes `get_sale` to pull the exact accounting matrix of any transaction. This lets your Gemini agent automate cash reconciliation directly inside your Google Cloud environment.

Setup guide

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

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

Yes, Gemini's million-token context window easily processes massive arrays from tools like `list_customers` over this MCP link. The Google ADK handles the raw JSON transfer, letting the model analyze your entire Brazilian customer base in one go.

You define a tool_names filter when initializing the McpToolset in your Python script. This prevents the Google ADK from invoking write operations like `create_service`, restricting it to lookup tools only.

Yes, you can write scripts that read historical sales from BigQuery. Your agent then uses `create_customer` to register missing profiles in the Brazilian ERP.

The ADK relies on the underlying HTTP transport layer configured during the MCP setup. If the ERP API lags during a `list_nfe` call, the SDK manages retries based on your transport parameters.

Vinkius executes the MCP Server in an ephemeral V8 sandbox, ensuring that bank balances from `list_bank_accounts` are never stored. The Google ADK communicates over secure HTTPS, keeping your corporate ERP data isolated within your Google Cloud project.

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