How to Use the Asaas MCP in Google ADK

Q: Can Google ADK analyze my Asaas balance history?

Yes, your agent will call getbalance repeatedly over time. It feeds that data into Gemini's long-context window to generate cash flow predictions.

Q: How do I restrict which Asaas tools Google ADK can use?

Pass an array of allowed strings to the toolnames parameter. If you only want read-only access, just include listcustomers and listsubscriptions while excluding creation commands.

Connect Asaas financial data to BigQuery workflows using Google ADK and this managed MCP integration.

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Connect Asaas MCP to Google ADK

Create your Vinkius account to connect Asaas 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 Asaas with Google ADK

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Gemini-Powered Financial Audits

Processing months of transaction history requires massive context windows. Google's Gemini models can ingest millions of tokens, making them perfect for deep accounting analysis. Your agent pulls thousands of records using `list_payments` and `list_transfers`. It then cross-references those Brazilian real transactions against your internal BigQuery datasets to spot anomalies.

Cloud-Native Asaas MCP Server

Running agents on Google Cloud infrastructure gives you direct access to Vertex AI tooling. The integration feels native when you bind external APIs to your existing cloud environment. Wrapping the Vinkius endpoint in a McpToolset makes `create_payment` and `create_customer` instantly available to your LlmAgent. You filter exposed functions using the tool_names parameter to restrict what the model touches.

Cross-Platform Billing Automation

Enterprise systems rarely live in one place, which is why this MCP standard matters. Combining CRM data with actual payment gateways requires agents that talk to both simultaneously. A support bot checking a ticket will fire `get_account_check` to verify the connection, then read `list_subscriptions` to confirm a user's status. It'll update the Google Cloud support ticket with the exact billing state without human input.

Setup guide

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

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Common questions about Asaas MCP in Google ADK

Run pip install google-adk to get the framework. Define your connection using StreamableHttpServerParameters with the Vinkius URL. Pass the resulting toolset into your agent's tools array.

Yes, your agent will call `get_balance` repeatedly over time. It feeds that data into Gemini's long-context window to generate cash flow predictions.

The package natively supports both Stdio and HTTP transports. You'll connect to the Vinkius managed endpoint over HTTP, keeping your cloud functions lightweight.

Pass an array of allowed strings to the tool_names parameter. If you only want read-only access, just include `list_customers` and `list_subscriptions` while excluding creation commands.

Transaction IDs, charge amounts, and customer details remain strictly between your Google Cloud environment and the target API. The Vinkius V8 Isolate Sandbox processes the payload ephemerally. No financial data gets logged on our servers.

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