How to Use the ZIP Codes API MCP in OpenAI Agents SDK

Q: How do I search for locations using ZIP Codes API with OpenAI Agents SDK?

You can use the findzipsbycity tool to locate codes based on a city and state. This works great when you have partial location data, like 'Denver, CO.' Your agent figures out which tools it needs; it just passes the necessary city name and state abbreviation to get started.

Q: Can I use ZIP Codes API with OpenAI Agents SDK for county-level lookups?

Absolutely. The findzipsbycounty tool lets you scope your search down to a specific county's boundary. This is much tighter than searching by state. It's ideal when you need regional data for, say, a specialized agricultural report that only covers one county.

Q: What kind of geographic data can I pull with ZIP Codes API and OpenAI Agents SDK?

The getzipdetails tool provides comprehensive geographic information. This includes boundary coordinates, population metrics, and other demographic facts associated with the code. This depth allows your agent to move beyond simple location names and perform actual data analysis.

Q: Does the OpenAI Agents SDK handle complex distance calculations with ZIP Codes API?

Yes. The getzipdistance tool calculates distances between two codes, giving you a precise measurement. Your agent handles the call and presents the final numerical result. This is a reliable way to ensure your application's logic always uses accurate spatial data.

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Setup ZIP Codes API with OpenAI Agents SDK

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Calculating Distance with the MCP Server

Need to know how far apart two locations are? The `get_zip_distance` tool calculates the precise distance between any two ZIP codes. Your agent sends the starting and ending codes, and it gets the mileage back. This is perfect for field service dispatch or logistics planning. Instead of guessing, your system uses this single call to determine if a delivery route is feasible.

Pinpointing Locations by State

Use `find_zips_by_state` when you only know the state but need all possible ZIP codes. Just feed it the state abbreviation, and it returns every corresponding code in that region. This function is a quick way to gather data for large-scale reporting or market analysis across entire states without needing thousands of individual lookups.

Getting Detailed Zip Info

The `get_zip_details` tool gives you the full picture on a specific code. It returns geographic and demographic data for any given ZIP, not just basic numbers. Your agent can use this information to validate user input or enrich records. For example, if a customer only provides a ZIP, your system instantly knows the general population density and boundaries.

Setup guide

Set up ZIP Codes API MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all ZIP Codes API tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ZIP Codes API tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ZIP Codes API tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="ZIP Codes API Agent",
            instructions="You have access to ZIP Codes API tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about ZIP Codes API MCP in OpenAI Agents SDK

You can use the `find_zips_by_city` tool to locate codes based on a city and state. This works great when you have partial location data, like 'Denver, CO.' Your agent figures out which tools it needs; it just passes the necessary city name and state abbreviation to get started.

Absolutely. The `find_zips_by_county` tool lets you scope your search down to a specific county's boundary. This is much tighter than searching by state. It's ideal when you need regional data for, say, a specialized agricultural report that only covers one county.

The `get_zip_details` tool provides comprehensive geographic information. This includes boundary coordinates, population metrics, and other demographic facts associated with the code. This depth allows your agent to move beyond simple location names and perform actual data analysis.

Yes. The `get_zip_distance` tool calculates distances between two codes, giving you a precise measurement. Your agent handles the call and presents the final numerical result. This is a reliable way to ensure your application's logic always uses accurate spatial data.

This server deals with location and demographic details. The system handles the input codes and returns associated geographic and population metrics. You're working with aggregated, non-personally identifiable spatial data.

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