How to Use the Zippopotam.us MCP in Pydantic AI

Q: How does Pydantic AI use Zippopotam.us?

The agent calls the MCP Server tools—like lookuppostcode—and Pydantic validates the resulting data structure immediately upon receipt, guaranteeing correctness for your code.

Q: What specific location lookups are available with Zippopotam.us and Pydantic AI?

You can perform two core functions: lookupnearbycity to find zip codes by city, or lookuppostcode to get coordinates from a postal code.

Type-safe location data handling with Pydantic AI.

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Connect Zippopotam.us MCP to Pydantic AI

Create your Vinkius account to connect Zippopotam.us to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Zippopotam.us with Pydantic AI

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Perplexity

Validate city lookups by zip code.

When your agent calls `lookup_nearby_city`, the response is immediately validated against a Pydantic model. If Zippopotam.us returns unexpected data, the agent fails loudly—you know exactly what went wrong. This type safety means you never have to write complex manual checks for required fields like city names or zip codes. The framework handles that guarantee for you.

Ensure clean coordinate retrieval.

The `lookup_postcode` tool guarantees the structure of location data, ensuring your agent receives validated coordinates and state information every time. No silent corruption here. This is critical when building production pipelines because you can trust that the output fields (like latitude or longitude) will always exist and be correctly formatted.

Robust MCP Server integration for correctness.

The Pydantic AI framework uses Zippopotam.us as a reliable external source of truth for location data, but it wraps the execution in validation layers. You get both power and safety. This means you can run complex multi-step agents knowing that if any single API call returns malformed data, the entire process halts gracefully with an explicit error.

Setup guide

Set up Zippopotam.us 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": {
        "zippopotamus-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Zippopotam.us transactions")
print(result.output)

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Common questions about Zippopotam.us MCP in Pydantic AI

The agent calls the MCP Server tools—like `lookup_postcode`—and Pydantic validates the resulting data structure immediately upon receipt, guaranteeing correctness for your code.

Yes, because even if the external source is complex, Pydantic enforces a strict data contract on the receiving end. You'll get predictable objects every time.

You can perform two core functions: `lookup_nearby_city` to find zip codes by city, or `lookup_postcode` to get coordinates from a postal code.

It does. You can retrieve comprehensive geographic data—including state and city names—and the framework ensures that this retrieved data is always type-safe.

This MCP Server handles global postal code intelligence, specifically dealing with zip codes, city names, state identifiers, and precise geographical coordinates (latitude/longitude).

Use it with your favorite AI tools

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