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How to Use the Inflation-Adjusted Return Calculator MCP in Pydantic AI

Get type-safe, inflation-adjusted return calculations in Pydantic AI without worrying about silent data corruption.

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Vinkius runs on Pydantic AI

Connect Inflation-Adjusted Return Calculator MCP to Pydantic AI

Create your Vinkius account to connect Inflation-Adjusted Return Calculator to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Key Capabilities

Calculate exact inflationary cash loss with Pydantic AI

`compute_absolute_inflationary_erosion` calculates the precise cash value lost to inflation during a specific period. Your agent runs this tool to validate that the nominal cash balance actually matches the real purchasing power left. Look, inflation is a silent tax. This MCP brings type-safe validation to your financial agents, ensuring that every cash erosion calculation is checked against strict Pydantic models at runtime.

Track purchasing power preservation ratios

`calculate_purchasing_power_ratio` computes the ratio of purchasing power preserved after inflation has taken its bite. Your agent uses this tool to verify if an asset class is actually protecting your capital over the long haul. If your agent is making allocation decisions, it needs accurate data. This tool ensures you get a clean ratio of preserved value, failing loudly if the API returns corrupted or unexpected data structures.

Compute true returns using the Fisher equation

`get_real_return_percentage` calculates the real return percentage by applying the Fisher equation to nominal returns and inflation rates. Your agent executes this tool to verify the actual yield on an investment portfolio. Do the math. Simple subtraction is a lazy way to calculate real returns and it is mathematically incorrect. This MCP provides the exact Fisher formula to keep your financial agents mathematically precise.

Setup guide

Set up Inflation-Adjusted Return Calculator MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "inflation-adjusted-return-calculator-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Inflation-Adjusted Return Calculator tools.",
)

result = await agent.run("List recent Inflation-Adjusted Return Calculator transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Inflation-Adjusted Return 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 Inflation-Adjusted Return Calculator MCP in Pydantic AI

Install the Pydantic AI MCP client and initialize the unified toolset with the MCP URL. Pass this toolset directly to your agent constructor for immediate, type-safe execution.
Yes. Every response from this MCP is strictly validated against Pydantic models before your agent can use the data, preventing silent calculation errors.
This MCP provides pre-built, mathematically sound tools for the Fisher equation and purchasing power ratios. It saves you from writing custom validation schemas for complex financial calculations.
This MCP supports both Streamable HTTP and SSE transports. Ensure the external service is running before your Pydantic AI agent attempts to connect.
The tool only processes raw floating-point numbers representing interest rates, inflation rates, and cash values. No personal identifiers, bank account details, or sensitive financial credentials are ever exposed or transmitted.

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