FIPS (Federal Information Processing Standard) codes are numbers used by the government to uniquely identify states, counties, and places. E.g., California is 06, Los Angeles County is 037.

Which census survey do you use?

We use the American Community Survey (ACS) 5-Year estimates, which provide the most reliable, detailed, and broad demographic data annually.

Are undocumented immigrants counted?

Yes, the Census Bureau attempts to count all residents regardless of immigration status, though this group is historically harder to count accurately.

U.S. Census Population — Demographics, Age & Diversity MCP Server for Pydantic AI 5 tools — connect in under 2 minutes

Name: U.S. Census Population — Demographics, Age & Diversity
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 5 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect U.S. Census Population — Demographics, Age & Diversity through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to U.S. Census Population — Demographics, Age & Diversity "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in U.S. Census Population — Demographics, Age & Diversity?"
    )
    print(result.data)

asyncio.run(main())

U.S. Census Population — Demographics, Age & Diversity

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Stream every event to Splunk, Datadog, or your own webhook in real-time

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About U.S. Census Population — Demographics, Age & Diversity MCP Server

U.S. Census demographic data.

Pydantic AI validates every U.S. Census Population — Demographics, Age & Diversity tool response against typed schemas, catching data inconsistencies at build time. Connect 5 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

5 Tools

State Population — View 50 states + DC
County Population — Drill down into counties
City/Place Population — Get local data
State Demographics — Race and ethnicity by state
County Demographics — Race and ethnicity by county

Authentication

Requires a free API key from the Census Bureau.

The U.S. Census Population — Demographics, Age & Diversity MCP Server exposes 5 tools through the Vinkius. Connect it to Pydantic AI 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 Population — Demographics, Age & Diversity to Pydantic AI via MCP

Follow these steps to integrate the U.S. Census Population — Demographics, Age & Diversity MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 5 tools from U.S. Census Population — Demographics, Age & Diversity with type-safe schemas

Why Use Pydantic AI with the U.S. Census Population — Demographics, Age & Diversity MCP Server

Pydantic AI provides unique advantages when paired with U.S. Census Population — Demographics, Age & Diversity through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your U.S. Census Population — Demographics, Age & Diversity integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your U.S. Census Population — Demographics, Age & Diversity connection logic from agent behavior for testable, maintainable code

U.S. Census Population — Demographics, Age & Diversity + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the U.S. Census Population — Demographics, Age & Diversity MCP Server delivers measurable value.

Type-safe data pipelines: query U.S. Census Population — Demographics, Age & Diversity with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple U.S. Census Population — Demographics, Age & Diversity tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query U.S. Census Population — Demographics, Age & Diversity and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock U.S. Census Population — Demographics, Age & Diversity responses and write comprehensive agent tests

U.S. Census Population — Demographics, Age & Diversity MCP Tools for Pydantic AI (5)

These 5 tools become available when you connect U.S. Census Population — Demographics, Age & Diversity to Pydantic AI via MCP:

get_demographics_by_county

Get racial and ethnic demographics for all counties in a state

get_demographics_by_state

Essential for diversity analysis, market segmentation, and policy research. Get racial and ethnic demographics for all states — White, Black, Asian, Hispanic, foreign-born

get_population_by_city

This includes incorporated cities and Census Designated Places. Get population for all cities/towns/places within a state

get_population_by_county

Use state FIPS codes: CA=06, TX=48, NY=36, FL=12, IL=17, PA=42, OH=39, GA=13, NC=37, MI=26, etc. Get population and median age for all counties in a state

get_population_by_state

The ACS is the most comprehensive demographic survey in the U.S., sampling 3.5 million households annually. Get total population and median age for all 50 U.S. states + DC

Example Prompts for U.S. Census Population — Demographics, Age & Diversity in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with U.S. Census Population — Demographics, Age & Diversity immediately.

"What is the population and median age of California vs Texas?"

"Show the Hispanic and Asian population for Florida"

"What is the most populated county in New York State?"

Troubleshooting U.S. Census Population — Demographics, Age & Diversity MCP Server with Pydantic AI

Common issues when connecting U.S. Census Population — Demographics, Age & Diversity to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

U.S. Census Population — Demographics, Age & Diversity + Pydantic AI FAQ

Common questions about integrating U.S. Census Population — Demographics, Age & Diversity MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your U.S. Census Population — Demographics, Age & Diversity MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.