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

Q: Can I query specific data types using U.S. Census Housing — Home Values, Rent & Real Estate Data with Claude Desktop?

Absolutely. The querycensus tool lets you specify any ACS variable, including population variables like B01003001E, making it highly flexible.

Pull definitive home values, rental rates, and market stats directly into your local development environment with Claude Desktop.

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

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

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Check county housing profiles

Need a deep dive on one area? Use `get_county_profile` to pull comprehensive data for any specific county. You get population stats, income metrics, and detailed housing breakdowns all in one go. This is perfect when you need context before writing code. It gives you the raw numbers—like median home values or ownership rates—so your next function uses real market intelligence.

Map out state-wide rent and value data

Want to compare states? The `get_housing_by_state` tool grabs key housing metrics for every state. It covers renter units, vacant properties, home values, and ownership rates across the board. It’s fast and reliable. You pull all that comparative data—the kind of thing needed for large-scale market analysis—without writing a dozen API calls.

Run custom Census API queries

Don't see the specific variable you need? `query_census` lets you hit the source directly. You specify variables like population (e.g., B01003_001E), geography, and year to pull any dataset available from the U.S. Census. This tool bypasses predefined functions. It’s your direct line to every piece of residential real estate data you can find.

Setup guide

Set up U.S. Census Housing — Home Values, Rent & Real Estate Data MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The U.S. Census Housing — Home Values, Rent & Real Estate Data MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the U.S. Census Housing — Home Values, Rent & Real Estate Data MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under us-census-housing-home-values-rent-real-estate-data-mcp.

json

{
  "mcpServers": {
    "us-census-housing-home-values-rent-real-estate-data-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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 Claude Desktop

Just invoke the appropriate tool in your chat input. If you need state-level data, call `get_housing_by_state`. The MCP Server handles the API calls and returns clean JSON that your AI client can use immediately.

It provides median home values, gross rent, ownership percentages, and vacancy counts at the state or county level. This is definitive real estate market intelligence.

Absolutely. The `query_census` tool lets you specify any ACS variable, including population variables like B01003_001E, making it highly flexible.

Yes, since this is an MCP Server, you can plug it in using either the native Desktop App or via custom connectors on claude.ai.

This server touches census and housing demographic data (e.g., population metrics, income levels). The MCP Server operates on an ephemeral, zero-trust model.

Use it with your favorite AI tools

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