How to Use the Inflation-Adjusted Return Calculator MCP in Google ADK

Fuel your Google ADK enterprise agents with real, inflation-adjusted investment returns directly from your Google ADK agent.

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Connect Inflation-Adjusted Return Calculator MCP to Google ADK

Create your Vinkius account to connect Inflation-Adjusted Return 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 Inflation-Adjusted Return Calculator with Google ADK

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Expose inflationary loss in Google ADK workflows

`compute_absolute_inflationary_erosion` calculates the exact cash value lost to rising prices across your portfolios. Your enterprise agent runs this tool to analyze historical data and show the real damage inflation did to your cash reserves. Right. If you are sitting on cash, you are losing money. This MCP lets your agent pull raw data from BigQuery and instantly calculate the erosion without manual spreadsheet work.

Analyze purchasing power ratios across portfolios

`calculate_purchasing_power_ratio` calculates the ratio of purchasing power preserved over any given period. Your agent uses this tool to evaluate whether your current asset allocation is actually keeping you ahead of the game. Money down the drain is the default when you ignore inflation. This tool gives your agent the exact mathematical proof needed to adjust portfolios before purchasing power drops too far.

Determine true returns using the Fisher equation

`get_real_return_percentage` computes the exact real rate of return using the standard Fisher equation. Your agent runs this calculation to verify if your high-yield investments are actually generating a profit after adjusting for inflation. Let's be real. Nominal gains are just paper gains until you subtract the inflation rate. This MCP ensures your agent never makes investment decisions based on inflated, raw numbers.

Setup guide

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

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Common questions about Inflation-Adjusted Return Calculator MCP in Google ADK

You register this MCP using the HTTP transport parameters inside your agent toolset. Your models can then access the calculations directly during long-context reasoning tasks.

Yes. Your agent can retrieve nominal returns and inflation rates from BigQuery and pass them directly to the calculation tools for batch processing.

This MCP standardizes the financial math across all your enterprise agents. It eliminates custom calculation errors and ensures every agent in your Google Cloud ecosystem uses the exact same Fisher equation logic.

Yes. You can use the optional tool name filter in the toolset configuration to expose only the specific calculation tools your agent needs.

The tool only receives raw numbers like interest rates and inflation percentages. It does not touch your proprietary database schemas, client names, or sensitive financial identifiers.

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