HUD User (USPS Crosswalk) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect HUD User (USPS Crosswalk) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="HUD User (USPS Crosswalk) Assistant",
instructions=(
"You help users interact with HUD User (USPS Crosswalk). "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from HUD User (USPS Crosswalk)"
)
print(result.final_output)
asyncio.run(main())
* 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 HUD User (USPS Crosswalk) MCP Server
Empower your AI agents to navigate US geography with precision. This MCP server connects to the HUD User Data API to provide crosswalks between USPS ZIP codes and Census Bureau geographies including Tracts, Counties, CBSAs, and Congressional Districts. Essential for urban planning, demographics analysis, and real estate data processing.
The OpenAI Agents SDK auto-discovers all 10 tools from HUD User (USPS Crosswalk) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries HUD User (USPS Crosswalk), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
The HUD User (USPS Crosswalk) MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 HUD User (USPS Crosswalk) to OpenAI Agents SDK via MCP
Follow these steps to integrate the HUD User (USPS Crosswalk) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from HUD User (USPS Crosswalk)
Why Use OpenAI Agents SDK with the HUD User (USPS Crosswalk) MCP Server
OpenAI Agents SDK provides unique advantages when paired with HUD User (USPS Crosswalk) through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
HUD User (USPS Crosswalk) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the HUD User (USPS Crosswalk) MCP Server delivers measurable value.
Automated workflows: build agents that query HUD User (USPS Crosswalk), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries HUD User (USPS Crosswalk), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through HUD User (USPS Crosswalk) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query HUD User (USPS Crosswalk) to resolve tickets, look up records, and update statuses without human intervention
HUD User (USPS Crosswalk) MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect HUD User (USPS Crosswalk) to OpenAI Agents SDK via MCP:
cbsa_to_zip
Maps CBSAs to ZIP codes
cbsadiv_to_zip
Maps CBSA Divisions to ZIP codes
cd_to_zip
Maps Congressional Districts to ZIP codes
county_to_zip
Maps Counties to ZIP codes
tract_to_zip
Maps Census Tracts to ZIP codes
zip_to_cbsa
Maps ZIP codes to Core Based Statistical Areas (CBSA)
zip_to_cbsadiv
Maps ZIP codes to CBSA Divisions
zip_to_cd
Maps ZIP codes to Congressional Districts
zip_to_county
Maps ZIP codes to Counties
zip_to_tract
Maps ZIP codes to Census Tracts
Example Prompts for HUD User (USPS Crosswalk) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with HUD User (USPS Crosswalk) immediately.
"Find the census tracts associated with ZIP code 90210."
"Which ZIP codes are in county FIPS 06037?"
"Get the congressional districts for ZIP code 10001."
Troubleshooting HUD User (USPS Crosswalk) MCP Server with OpenAI Agents SDK
Common issues when connecting HUD User (USPS Crosswalk) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
HUD User (USPS Crosswalk) + OpenAI Agents SDK FAQ
Common questions about integrating HUD User (USPS Crosswalk) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect HUD User (USPS Crosswalk) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect HUD User (USPS Crosswalk) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.