How to Use the Treinta App MCP in Google ADK

Q: How do I check debt profiles using Treinta App and Google ADK?

You call the getclient tool to fetch a specific client's current debt profile. The resulting data can then be fed into Gemini for complex analysis, helping you flag accounts that need immediate attention.

Q: Can I list all transactions using Treinta App and Google ADK?

Yes. The listtransactions tool lets you retrieve a full history of book flow transactions. You can use this streamable data to audit any financial movement your agent performs.

Q: What is the best way to record new sales using Treinta App and Google ADK?

Use createtransaction for logging sales. Your agent records these transactions, which then populate BigQuery, making them available for long-context analysis by Gemini.

Build enterprise e-commerce agents for Google ADK that read and write to BigQuery data sources.

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Connect Treinta App MCP to Google ADK

Create your Vinkius account to connect Treinta App 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 Treinta App with Google ADK

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Get Full Client Details via MCP Server

Your agent pulls a specific client's debt profile using `get_client`. This action allows your models, trained on Google Cloud infrastructure, to immediately assess financial risk. You can also list all existing contacts with `list_clients` for broader analysis. Want to know the sales history? Use `list_transactions` to get a comprehensive view of every book flow movement associated with any client or product.

Manage Product Inventory Across Google ADK

The agent reads complete business inventory by calling `list_products`. When stock levels change, it calls `update_product_stock` to keep the record accurate. This is vital when integrating with BigQuery data streams. Additionally, you can add new items using `create_product`, ensuring that all future sales opportunities are tracked right from the start.

Process and View Business Metrics

To see the overall financial health, your agent runs `get_business_stats` for macro P&L operations. It also lists consolidated sales totals using `list_sales`. These metrics are perfect inputs for long-context reasoning in Gemini. Need to audit a sale? You can get targeted details on an SKU with `get_product`, or record a new financial entry via `create_transaction`.

Setup guide

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

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Common questions about Treinta App MCP in Google ADK

You call the `get_client` tool to fetch a specific client's current debt profile. The resulting data can then be fed into Gemini for complex analysis, helping you flag accounts that need immediate attention.

This MCP Server touches client debt profiles and macro P&L operations. Because it integrates with BigQuery, all financial data is handled within the secure confines of your existing Google Cloud infrastructure.

Yes. The `list_transactions` tool lets you retrieve a full history of book flow transactions. You can use this streamable data to audit any financial movement your agent performs.

Use `create_transaction` for logging sales. Your agent records these transactions, which then populate BigQuery, making them available for long-context analysis by Gemini.

The MCP Server provides 12 actionable tools. Your agent uses these tools to perform complex e-commerce tasks, like updating stock or retrieving client data, all while operating natively within your Google Cloud environment.

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