How to Use the U.S. Census Population — Demographics, Age & Diversity MCP in OpenAI Agents SDK

Q: How does the U.S. Census Population — Demographics, Age & Diversity integrate with OpenAI Agents SDK?

The openai-agents-sdk auto-discovers these tools as available functions for your agent. You don't need to write wrappers; you just tell the agent what job needs doing, and it handles the function call using its guardrails.

Q: Can I use U.S. Census Population — Demographics, Age & Diversity in a state-level analysis with OpenAI Agents SDK?

Yeah, absolutely. Use getdemographicsbystate to get the national view (White, Black, Asian counts) and then follow up with a call to getpopulationbycounty to drill into specific county details.

Q: What's the best way to use U.S. Census Population — Demographics, Age & Diversity for market sizing with OpenAI Agents SDK?

Start big. Call getpopulationbystate first to get baseline totals and median age. Then, narrow it down using getpopulationbycounty with specific FIPS codes for localized data points.

Run complex U.S. Census Population — Demographics, Age & Diversity analysis directly from your OpenAI Agents SDK workflows.

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Connect U.S. Census Population — Demographics, Age & Diversity MCP to OpenAI Agents SDK

Create your Vinkius account to connect U.S. Census Population — Demographics, Age & Diversity 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 U.S. Census Population — Demographics, Age & Diversity with OpenAI Agents SDK

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Get demographics by county

The `get_demographics_by_county` tool pulls racial and ethnic data for specific counties within any state. This lets your agent check diversity patterns, like finding out the mix of White, Black, or Asian populations in a given area. You can build multi-step workflows around this. If an initial step identifies a target county, the next specialized agent just calls `get_demographics_by_county` to get the precise breakdown needed for policy modeling.

Analyze population by city

Need to know the raw numbers? The `get_population_by_city` tool gives you the total population count for any incorporated city or Census Designated Place (CDP). This is useful when your agent needs to segment a market based on localized density. Your AI client can use this alongside other data sources. It’s perfect for quickly sizing up potential deployment areas—just passing in the state and the place name gets you the count.

Compare state populations

Use `get_population_by_state` to get total population counts and median age for all 50 states plus DC. This is a quick check when your agent needs a high-level comparative analysis of the country's demographics. It provides the essential baseline data, making it easy to benchmark results before running deeper county-level checks. Your agent can use this tool first, then pass those state totals to other specialized components.

Setup guide

Set up U.S. Census Population — Demographics, Age & Diversity 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 U.S. Census Population — Demographics, Age & Diversity tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives U.S. Census Population — Demographics, Age & Diversity tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate U.S. Census Population — Demographics, Age & Diversity 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="U.S. Census Population — Demographics, Age & Diversity Agent",
            instructions="You have access to U.S. Census Population — Demographics, Age & Diversity tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by U.S. Census Bureau. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about U.S. Census Population — Demographics, Age & Diversity MCP in OpenAI Agents SDK

The `openai-agents-sdk` auto-discovers these tools as available functions for your agent. You don't need to write wrappers; you just tell the agent what job needs doing, and it handles the function call using its guardrails.

Yeah, absolutely. Use `get_demographics_by_state` to get the national view (White, Black, Asian counts) and then follow up with a call to `get_population_by_county` to drill into specific county details.

Start big. Call `get_population_by_state` first to get baseline totals and median age. Then, narrow it down using `get_population_by_county` with specific FIPS codes for localized data points.

No. This server provides current demographic snapshots from the American Community Survey (ACS). The tools fetch real-time available data and don't manage historical records or time series analysis.

The server touches demographic counts: racial/ethnic breakdowns (White, Black, Asian, Hispanic, Foreign-born), population numbers, and median age for various geographic levels.

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