How to Use the Retirement Withdrawal Calculator MCP in Google ADK

Bring your BigQuery financial data into the Google ADK. Use the Retirement Withdrawal Calculator to stress-test your portfolio.

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MCP Servers — Included with Plan

Connect Retirement Withdrawal Calculator MCP to Google ADK

Create your Vinkius account to connect Retirement Withdrawal 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 Retirement Withdrawal Calculator with Google ADK

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Run Monte Carlo simulations

Your retirement plan lives or dies by the sequence of returns. Use `simulate_withdrawal_probabilities` to see if your plan survives the next decade of market swings. Google ADK makes it easy to hook this into your existing cloud infrastructure. You get clear, probabilistic answers instead of vague projections.

Assess risk profiles

Don't guess if your asset allocation is too aggressive. Use `evaluate_portfolio_risk_profile` to get a breakdown of your volatility before the market tests your resolve. This tool feeds directly into your agent, allowing for automated rebalancing advice. It keeps your strategy grounded in reality.

Identify worst-case scenarios

Most plans fail because they ignore the tails of the distribution. Use `get_scenario_extremes` to find the breaking point of your savings. - and this is where people trip up - by focusing on the best-case growth. This tool forces you to look at the math of survival during a crash.

Setup guide

Set up Retirement Withdrawal 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 Retirement Withdrawal 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="Retirement Withdrawal Calculator_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Retirement Withdrawal Calculator tools via MCP.",
    tools=mcp_tools,
)

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