How to Use the Presumed Profit Tax Calculator MCP in Google ADK

Run high-precision tax calculations across BigQuery financial tables using Google ADK and Gemini models.

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Connect Presumed Profit Tax Calculator MCP to Google ADK

Create your Vinkius account to connect Presumed Profit Tax Calculator to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Presumed Profit Tax Calculator with Google ADK

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Map Revenue to Tax Bases in Google ADK

This MCP exposes a dedicated tool to compute presumptive tax bases from raw financial data. By invoking `get_taxable_base`, your enterprise agent determines the correct taxable portion of your gross revenues based on your specific business sector. This allows your agent to pull raw transaction data from cloud databases and instantly calculate the taxable portion. You get clean, structured numbers ready for compliance workflows without writing manual SQL logic.

Compute Corporate Tax and Social Contributions

Calculate your exact tax liabilities directly within your cloud agent workflow. Your agent calls `calculate_cit_breakdown` to compute the standard corporate income tax and any surtaxes, while `calculate_scll_liability` handles the social contribution calculations. This eliminates the need to export financial data to external calculators. The agent runs these calculations directly on your cloud infrastructure, keeping your financial workflows fast and centralized.

Generate Consolidated MCP Server Tax Reports

Compile your entire quarterly tax liability into a single structured payload. The agent calls `generate_tax_summary_report` to merge CIT and SCLL calculations into a unified report. This consolidated output can be written back to BigQuery or sent to your finance team. It ensures your corporate tax records remain consistent across all cloud databases.

Setup guide

Set up Presumed Profit Tax Calculator 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 Presumed Profit Tax Calculator 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="Presumed Profit Tax Calculator_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Presumed Profit Tax Calculator 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 Presumed Profit Tax Calculator. 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 Presumed Profit Tax Calculator MCP in Google ADK

Initialize the toolset using the streamable HTTP parameters pointing to the hosted endpoint. Pass this toolset to your agent constructor to make all calculation tools available to your Gemini models.

Yes. Your agent can query gross revenue figures from BigQuery tables and feed those numbers directly into the calculation tools to compute your liabilities.

The tools return highly structured, compact JSON payloads. This keeps token usage minimal, leaving your model's context window open for analyzing complex tax regulations or historical trends.

Yes. The framework allows you to pass a specific list of tool names to the toolset configuration, restricting the agent to only the calculations you want it to perform.

All calculations happen within isolated execution environments. Your sensitive revenue figures and tax rates are never stored on disk or used for model training, ensuring complete data isolation.

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