How to Use the U.S. Census Housing — Home Values, Rent & Real Estate Data MCP in Google ADK

Q: How does Google ADK access U.S. Census Housing — Home Values, Rent & Real Estate Data?

You can use the gethousingbycounty tool to retrieve housing data for every county in a state. This pulls values, rent, and ownership rates into your agent's context.

Q: Can Google ADK pull full datasets from U.S. Census Housing — Home Values, Rent & Real Estate Data?

Yes. The querycensus tool allows you to specify any dataset and variables needed for a custom query, giving massive flexibility.

Q: What housing data can Google ADK get using U.S. Census Housing — Home Values, Rent & Real Estate Data?

The gethousingbystate tool provides renter-occupied and vacant units for all states, which is essential for market analysis within the Gemini ecosystem.

Q: Does U.S. Census Housing — Home Values, Rent & Real Estate Data support specific filtering in Google ADK?

The querycensus tool accepts optional filters so you can narrow down results by location or demographic criteria when running a query.

Integrate U.S. Census Housing — Home Values, Rent & Real Estate Data into your Google ADK agents.

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Connect U.S. Census Housing — Home Values, Rent & Real Estate Data MCP to Google ADK

Create your Vinkius account to connect U.S. Census Housing — Home Values, Rent & Real Estate Data to Google ADK 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 Housing — Home Values, Rent & Real Estate Data with Google ADK

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Accessing State and County Profiles via the MCP Server

Use `get_county_profile` to pull deep details for a county. This is key when you need to analyze local factors—like population density combined with median rent—for your BigQuery datasets. It gives your Gemini agent all the raw data it needs, acting as a structured query layer before hitting your primary Google Cloud storage.

Comprehensive State Overview for GCP Workflows

The `get_state_profile` tool delivers a complete socioeconomic profile. You get population counts, income data, and housing stats all in one payload. This makes it easy to run complex reasoning within your Google ADK workflow, comparing state-level economic health metrics.

Advanced Data Extraction with the MCP Server

When you use `query_census`, you specify variables (like B01003_001E) and geographies to run custom queries. It acts as a powerful front-end for your BigQuery ingest pipeline. This allows your agent to query any dataset, making it useful whether you're checking housing or demographics.

Setup guide

Set up U.S. Census Housing — Home Values, Rent & Real Estate Data 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 Housing — Home Values, Rent & Real Estate Data 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 Housing — Home Values, Rent & Real Estate Data_agent",
    model="gemini-2.0-flash",
    instruction="You have access to U.S. Census Housing — Home Values, Rent & Real Estate Data tools via MCP.",
    tools=mcp_tools,
)

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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 Housing — Home Values, Rent & Real Estate Data MCP in Google ADK

You can use the `get_housing_by_county` tool to retrieve housing data for every county in a state. This pulls values, rent, and ownership rates into your agent's context.

Yes. The `query_census` tool allows you to specify any dataset and variables needed for a custom query, giving massive flexibility.

The `get_housing_by_state` tool provides renter-occupied and vacant units for all states, which is essential for market analysis within the Gemini ecosystem.

The `query_census` tool accepts optional filters so you can narrow down results by location or demographic criteria when running a query.

This server touches residential real estate data, including median home values, gross rent estimates, and ownership vs. renting rates at both state and county levels.

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