Can I lookup a US zip code and get its coordinates?

Yes! Use the `lookup_postcode` tool with the country 'US' and the zip code. It will return the city, state, and coordinates for that location.

Which countries are supported by Zippopotam.us?

Zippopotam.us supports over 60 countries, including the US, Canada, Great Britain, Brazil, France, Germany, and many others. You can use the standard 2-letter ISO country codes.

Can I find all zip codes for a specific city?

Yes! Use the `lookup_city` tool with the country code, state, and city name. It will return a list of all postal codes associated with that urban area.

Zippopotam.us MCP Server for Pydantic AI 2 tools — connect in under 2 minutes

Name: Zippopotam.us
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 2 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Zippopotam.us through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Zippopotam.us "
            "(2 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Zippopotam.us?"
    )
    print(result.data)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Zippopotam.us MCP Server

Equip your AI agent with global geographic intelligence via the Zippopotam.us MCP server. This integration provides instant access to location data for over 60 countries. Your agent can perform reverse lookups of postal codes to retrieve city names, state details, and precise latitude/longitude coordinates. It can also find all postal codes associated with a specific city and state. Whether you are validating addresses, calculating distances, or automating logistics, your agent acts as a dedicated geographic data specialist through natural conversation.

Pydantic AI validates every Zippopotam.us tool response against typed schemas, catching data inconsistencies at build time. Connect 2 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Postal Code Lookup — Retrieve city, state, and coordinates for any zip code in 60+ countries.
City Reverse Lookup — Find all postal codes associated with a specific city and state.
Geographic Data — Access precise latitude and longitude for localized mapping or services.

The Zippopotam.us MCP Server exposes 2 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Zippopotam.us to Pydantic AI via MCP

Follow these steps to integrate the Zippopotam.us MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 2 tools from Zippopotam.us with type-safe schemas

Why Use Pydantic AI with the Zippopotam.us MCP Server

Pydantic AI provides unique advantages when paired with Zippopotam.us through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Zippopotam.us integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Zippopotam.us connection logic from agent behavior for testable, maintainable code

Zippopotam.us + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Zippopotam.us MCP Server delivers measurable value.

Type-safe data pipelines: query Zippopotam.us with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Zippopotam.us tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Zippopotam.us and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Zippopotam.us responses and write comprehensive agent tests

Zippopotam.us MCP Tools for Pydantic AI (2)

These 2 tools become available when you connect Zippopotam.us to Pydantic AI via MCP:

lookup_nearby_city

Lookup zip codes for a city

lookup_postcode

Lookup location by postal code

Example Prompts for Zippopotam.us in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Zippopotam.us immediately.

"Find the city and state for zip code 90210 in the US."

"Lookup the postal code 'SW1A 1AA' in Great Britain."

"List all postal codes for 'Miami', Florida (FL)."

Troubleshooting Zippopotam.us MCP Server with Pydantic AI

Common issues when connecting Zippopotam.us to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Zippopotam.us + Pydantic AI FAQ

Common questions about integrating Zippopotam.us MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Zippopotam.us MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.