How to Use the Retirement Withdrawal Calculator MCP in Pydantic AI

Get type-safe retirement math. Use the Retirement Withdrawal Calculator with Pydantic AI for reliable, validated financial projections.

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Connect Retirement Withdrawal Calculator MCP to Pydantic AI

Create your Vinkius account to connect Retirement Withdrawal 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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Setup Retirement Withdrawal Calculator with Pydantic AI

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Claude

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Gemini

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Type-safe simulation results

Stop worrying about malformed data in your retirement models. Every call to `simulate_withdrawal_probabilities` is validated, ensuring your agent receives clean, structured numbers. The math is stubborn, and this ensures your agent doesn't hallucinate a retirement plan that doesn't exist. You get exactly what the math dictates.

Validate portfolio risk

Your portfolio risk profile needs to be as rigid as your code. Use `evaluate_portfolio_risk_profile` to confirm your volatility metrics match your expected outcomes. If the data looks wrong, the agent fails immediately. This prevents you from making life-altering financial decisions based on bad input.

Stress test with precision

Identify the absolute limit of your savings with `get_scenario_extremes`. This tool finds the maximum safe withdrawal before you hit zero. - and this is where people trip up - by assuming the market will always be kind. This provides the hard data you need to build a defensive retirement.

Setup guide

Set up Retirement Withdrawal Calculator MCP in Pydantic AI

Prerequisites

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

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

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

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": {
        "retirement-withdrawal-calculator-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Retirement Withdrawal Calculator transactions")
print(result.output)

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