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U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect U.S. Census Housing — Home Values, Rent & Real Estate Data through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
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="U.S. Census Housing — Home Values, Rent & Real Estate Data Assistant",
            instructions=(
                "You help users interact with U.S. Census Housing — Home Values, Rent & Real Estate Data. "
                "You have access to 5 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from U.S. Census Housing — Home Values, Rent & Real Estate Data"
        )
        print(result.final_output)

asyncio.run(main())
U.S. Census Housing — Home Values, Rent & Real Estate Data
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About U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server

U.S. Census housing data.

The OpenAI Agents SDK auto-discovers all 5 tools from U.S. Census Housing — Home Values, Rent & Real Estate Data through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries U.S. Census Housing — Home Values, Rent & Real Estate Data, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

5 Tools

  • Housing by State — Values, rent, ownership
  • Housing by County — Drill down into local markets
  • State Profile — Full socioeconomic snapshot
  • County Profile — Deep dive into specific counties
  • Query Census — Run any custom API query

Authentication

Requires a free API key from the Census Bureau.

The U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server exposes 5 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 U.S. Census Housing — Home Values, Rent & Real Estate Data to OpenAI Agents SDK via MCP

Follow these steps to integrate the U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 5 tools from U.S. Census Housing — Home Values, Rent & Real Estate Data

Why Use OpenAI Agents SDK with the U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server

OpenAI Agents SDK provides unique advantages when paired with U.S. Census Housing — Home Values, Rent & Real Estate Data through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

U.S. Census Housing — Home Values, Rent & Real Estate Data + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server delivers measurable value.

01

Automated workflows: build agents that query U.S. Census Housing — Home Values, Rent & Real Estate Data, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents — one queries U.S. Census Housing — Home Values, Rent & Real Estate Data, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through U.S. Census Housing — Home Values, Rent & Real Estate Data tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query U.S. Census Housing — Home Values, Rent & Real Estate Data to resolve tickets, look up records, and update statuses without human intervention

U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Tools for OpenAI Agents SDK (5)

These 5 tools become available when you connect U.S. Census Housing — Home Values, Rent & Real Estate Data to OpenAI Agents SDK via MCP:

01

get_county_profile

Get a comprehensive profile for a specific county

02

get_housing_by_county

Essential for real estate investors, developers, and market researchers. Get housing data for all counties in a state — values, rent, ownership

03

get_housing_by_state

renter-occupied, and vacant units for every state. The #1 dataset for real estate market analysis. Get housing data for all states — home values, rent, ownership rates, vacancies

04

get_state_profile

One query = complete state intelligence. Get a comprehensive socioeconomic profile for a state — population, income, housing, demographics

05

query_census

Specify ACS variables (e.g., B01003_001E for population), geography (state:*, county:*, place:*), optional in-clause for filtering, year, and dataset path. See api.census.gov/data.html for all available datasets and variables. Run a custom Census API query — any dataset, variables, and geography

Example Prompts for U.S. Census Housing — Home Values, Rent & Real Estate Data in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with U.S. Census Housing — Home Values, Rent & Real Estate Data immediately.

01

"What is the median home value in California?"

02

"How many houses are vacant in Nevada?"

03

"Use a custom query to find the renter to ownership ratio in Ohio"

Troubleshooting U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server with OpenAI Agents SDK

Common issues when connecting U.S. Census Housing — Home Values, Rent & Real Estate Data to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

U.S. Census Housing — Home Values, Rent & Real Estate Data + OpenAI Agents SDK FAQ

Common questions about integrating U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with the Vinkius.

Connect U.S. Census Housing — Home Values, Rent & Real Estate Data to OpenAI Agents SDK

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.