How to Use the European Pension Estimator MCP in Pydantic AI

Q: How do I connect the European Pension Estimator to Pydantic AI?

Install the package using pip install pydantic-ai-slimmcp. Then, initialize the European Pension Estimator using the unified MCPToolset constructor with your HTTP URL and pass it to your Agent.

Get type-safe, validated European retirement projections directly in Pydantic AI without silent runtime errors.

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Connect European Pension Estimator MCP to Pydantic AI

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Setup European Pension Estimator with Pydantic AI

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Validate European pension rules with Pydantic AI

The `get_scheme_details` tool fetches statutory pension parameters for Germany, France, Spain, and the UK. Pydantic AI validates the returned schemas at runtime, ensuring your agent never operates on corrupted policy data. If a national pension authority updates their schema, the framework catches the discrepancy immediately. You get explicit validation errors instead of silent, costly calculation failures.

Enforce strict types on retirement gap assessments

The `assess_contribution_gap` tool calculates the exact benefit increase of working additional years across different European systems. You'll want to enforce this at runtime so your financial models receive clean floats and integers. This strict validation prevents your agent from passing malformed strings or null values to your downstream planning tools. Don't sweat it; the math remains solid and predictable at every step.

Calculate monthly benefits with complete type safety

The `calculate_monthly_benefit` tool estimates the monthly public pension payout and replacement rate based on historical earnings. This MCP guarantees that the calculated currency and rate values strictly match your defined Pydantic models. By offloading the math to this MCP, you keep your core agent logic clean. Right, the framework handles the parsing, so you can focus on building correct financial projections.

Setup guide

Set up European Pension Estimator 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": {
        "european-pension-estimator-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent European Pension Estimator transactions")
print(result.output)

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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 European Pension Estimator. 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 European Pension Estimator MCP in Pydantic AI

Install the package using pip install pydantic-ai-slim[mcp]. Then, initialize the European Pension Estimator using the unified MCPToolset constructor with your HTTP URL and pass it to your Agent.

No, use the unified MCPToolset helper instead of the deprecated HTTP class. This is the modern, supported approach for connecting this MCP to your type-safe agents.

If the pension tool returns data that violates your schema, Pydantic AI raises a validation error immediately. This stops the agent from making decisions based on bad calculations.

It supports both Streamable HTTP and SSE transports. The target service must run externally, allowing your type-safe agent to query the pension formulas over a stable network connection.

This MCP operates entirely statelessly, processing your salary history and contribution years in memory. It never writes your raw financial parameters to disk, ensuring complete data isolation.

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