How are median home values calculated?

The ACS asks respondents to estimate how much their property (house and lot, mobile home and lot, or condominium unit) would sell for if it were for sale. The median represents the middle value.

Does 'Value' mean assessment or market value?

It reflects an estimated market value by the owner, not assessed tax value or recent sales price.

What does Gross Rent include?

Gross rent includes the contract rent plus the estimated average monthly cost of utilities (electricity, gas, and water and sewer) and fuels.

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

Name: U.S. Census Housing — Home Values, Rent & Real Estate Data
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 5 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add U.S. Census Housing — Home Values, Rent & Real Estate Data as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="us_census_housing_home_values_rent_real_estate_data_agent",
    instruction=(
        "You help users interact with U.S. Census Housing — Home Values, Rent & Real Estate Data "
        "using 5 available tools."
    ),
    tools=[mcp_tools],
)

U.S. Census Housing — Home Values, Rent & Real Estate Data

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server

U.S. Census housing data.

Google ADK natively supports U.S. Census Housing — Home Values, Rent & Real Estate Data as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

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

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

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

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

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

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with U.S. Census Housing — Home Values, Rent & Real Estate Data

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine U.S. Census Housing — Home Values, Rent & Real Estate Data tools with BigQuery, Vertex AI, and Cloud Functions

U.S. Census Housing — Home Values, Rent & Real Estate Data + Google ADK Use Cases

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

Enterprise data agents: ADK agents query U.S. Census Housing — Home Values, Rent & Real Estate Data and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine U.S. Census Housing — Home Values, Rent & Real Estate Data tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query U.S. Census Housing — Home Values, Rent & Real Estate Data regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including U.S. Census Housing — Home Values, Rent & Real Estate Data

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

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

get_county_profile

Get a comprehensive profile for a specific county

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

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

get_state_profile

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

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 Google ADK

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

"What is the median home value in California?"

"How many houses are vacant in Nevada?"

"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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

U.S. Census Housing — Home Values, Rent & Real Estate Data + Google ADK FAQ

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

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.