How to Use the HUD User (USPS Crosswalk) MCP in OpenAI Agents SDK

Q: Can the OpenAI Agents SDK trace HUD User (USPS Crosswalk) API calls?

Yes. Every time your agent calls tracttozip or ziptocounty, the OpenAI dashboard logs the request and response. You see exactly what mapping data the agent retrieved before it made a decision.

Map overlapping ZIP codes to exact Census tracts in production using the OpenAI Agents SDK.

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Connect HUD User (USPS Crosswalk) MCP to OpenAI Agents SDK

Create your Vinkius account to connect HUD User (USPS Crosswalk) to OpenAI Agents SDK 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 HUD User (USPS Crosswalk) with OpenAI Agents SDK

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Perplexity

Map postal routes to statistical areas with OpenAI Agents SDK

ZIP codes are built for mail delivery, not demographic analysis. When your agent needs to assign a user's address to a specific statistical region, relying on basic geocoding fails. This MCP Server exposes tools like `zip_to_cbsa` and `zip_to_tract` directly to your agent. You configure the server, and the OpenAI Agents SDK auto-discovers the endpoints, allowing your system to pull precise HUD allocation ratios before executing regional logic.

Reverse lookup from political boundaries

Sometimes you start with a federal grant target or a voting district and need to know which mail routes fall inside it. Your agent handles the handoff between the compliance guardrails and the spatial query. Using `cd_to_zip` or `county_to_zip`, the agent queries the HUD User USPS Crosswalk API to return all overlapping ZIP codes. It checks the response against your defined safety constraints before passing the data to downstream services.

Handle metropolitan divisions automatically

Core Based Statistical Areas (CBSAs) often split into smaller divisions. If your production system routes real estate leads based on these micro-markets, your agent needs exact boundary definitions. This MCP setup gives you accurate, bi-directional mapping between postal zones and HUD-defined metropolitan divisions. The `zip_to_cbsadiv` and `cbsadiv_to_zip` tools translate these specific geographic identifiers without requiring you to maintain your own spatial database.

Setup guide

Set up HUD User (USPS Crosswalk) 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 HUD User (USPS Crosswalk) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives HUD User (USPS Crosswalk) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate HUD User (USPS Crosswalk) 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="HUD User (USPS Crosswalk) Agent",
            instructions="You have access to HUD User (USPS Crosswalk) 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 HUD User (USPS Crosswalk) MCP in OpenAI Agents SDK

Install openai-agents via pip. Create an MCPServerStreamableHttp instance pointing to your Vinkius endpoint and pass it to your agent constructor. Set cacheToolsList=True to speed up tool discovery.

Yes. Every time your agent calls `tract_to_zip` or `zip_to_county`, the OpenAI dashboard logs the request and response. You see exactly what mapping data the agent retrieved before it made a decision.

The API returns allocation ratios for split ZIP codes. Your agent reads these ratios to determine what percentage of a ZIP code belongs to a specific census tract or congressional district.

No. The SDK auto-discovers all endpoints. Once the server is attached, your agent immediately knows how to use `cbsa_to_zip` without manual schema definitions.

No. The server only processes five-digit ZIP codes and Census geography IDs. It never sees street-level addresses, and the Vinkius zero-trust sandbox destroys the container immediately after returning the HUD crosswalk data.

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