How to Use the U.S. Census Population — Demographics, Age & Diversity MCP in Google ADK

Q: How does U.S. Census Population — Demographics, Age & Diversity fit into Google ADK?

The google-adk treats this as a callable toolset that your agent can invoke alongside native BigQuery queries. This allows you to combine external demographic data with internal company metrics in one workflow.

Q: Can I use U.S. Census Population — Demographics, Age & Diversity for macro analysis with Google ADK?

Yes. Use getpopulationbystate to get the total population and median age for all 50 states plus DC. This provides the high-level dataset needed before diving into granular county or city details.

Q: What's the best way to use U.S. Census Population — Demographics, Age & Diversity in Google ADK?

We recommend starting with getdemographicsbycounty to identify key demographic clusters. Then, pass those findings to an agent that uses getpopulationbycity to pinpoint specific urban centers within the cluster.

Run U.S. Census Population — Demographics, Age & Diversity analytics on Google ADK using Gemini models directly in your cloud agent.

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Connect U.S. Census Population — Demographics, Age & Diversity MCP to Google ADK

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Setup U.S. Census Population — Demographics, Age & Diversity with Google ADK

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Get state demographics by race

The `get_demographics_by_state` tool provides a deep dive into racial and ethnic demographics across all 50 states. Your Gemini-powered agents can use this to analyze how the White, Black, or Hispanic populations shift between neighboring regions. Since you're building enterprise pipelines on Google Cloud, your agent can pass these state-level breakdowns directly into BigQuery for immediate analysis alongside other company data.

Determine county population and age

Use `get_population_by_county` to get both the population count and median age using specific state FIPS codes. This mechanism is perfect when your agent needs to compare growth rates or demographic stability across multiple counties. The long-context reasoning of Gemini models allows you to hold complex queries—say, comparing county populations in CA vs TX—and structure the required tool calls accurately.

Measure city population size

If your agent needs local market data, `get_population_by_city` pulls the current population for any incorporated place. This is a precise way to quantify target areas within a state. You can chain this call with other services in Vertex AI, allowing the agent to build out a full geographical understanding of where resources might be needed.

Setup guide

Set up U.S. Census Population — Demographics, Age & Diversity MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with U.S. Census Population — Demographics, Age & Diversity tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="U.S. Census Population — Demographics, Age & Diversity_agent",
    model="gemini-2.0-flash",
    instruction="You have access to U.S. Census Population — Demographics, Age & Diversity tools via MCP.",
    tools=mcp_tools,
)

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Common questions about U.S. Census Population — Demographics, Age & Diversity MCP in Google ADK

The `google-adk` treats this as a callable toolset that your agent can invoke alongside native BigQuery queries. This allows you to combine external demographic data with internal company metrics in one workflow.

Yes. Use `get_population_by_state` to get the total population and median age for all 50 states plus DC. This provides the high-level dataset needed before diving into granular county or city details.

We recommend starting with `get_demographics_by_county` to identify key demographic clusters. Then, pass those findings to an agent that uses `get_population_by_city` to pinpoint specific urban centers within the cluster.

No. The American Community Survey (ACS) data provided by this MCP Server is current. It doesn't include mechanisms for querying past years; you get the latest available demographic information.

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

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