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

Q: How do I check home values with U.S. Census Housing — Home Values, Rent & Real Estate Data using Vercel AI SDK?

The querycensus tool is what you need for that specific variable. Just pass the correct ACS variable code and specify 'home values' in the query parameters. Your agent will stream back the median home values instantly.

Q: Can Vercel AI SDK retrieve rent data from U.S. Census Housing — Home Values, Rent & Real Estate Data?

Yes. Use gethousingbycounty to pull housing metrics for all counties within a single state. This dataset includes both median gross rent figures and ownership rates.

Q: What variables can U.S. Census Housing — Home Values, Rent & Real Estate Data access via Vercel AI SDK?

The querycensus tool accesses the full breadth of ACS variables. You specify what you need—whether it's population counts (B01003001E) or specific housing metrics—along with the desired geography.

Q: Does U.S. Census Housing — Home Values, Rent & Real Estate Data support state-level analysis in Vercel AI SDK?

Absolutely. You can call getstateprofile to get a complete socioeconomic snapshot for any given state. This includes population counts, income brackets, and housing status.

Stream real estate data directly into your UI using Vercel AI SDK.

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Connect U.S. Census Housing — Home Values, Rent & Real Estate Data MCP to Vercel AI SDK

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

Ask AI about this MCP

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Claude

Perplexity

Display county profiles live.

The `get_county_profile` tool fetches a complete profile for any specific county. When you call this from your agent, the data streams right into React or Next.js components as it arrives. Your users see real-time updates instead of waiting for a loading spinner.

Map state housing markets instantly.

Use `get_housing_by_state` to pull housing metrics across all states at once. This tool gives you renter-occupied and vacant unit counts, which is perfect for large-scale market visualization. Your agent can process this massive dataset quickly, streaming the numbers directly into your client application.

Run custom Census queries on demand.

The `query_census` tool lets you run any specific query using ACS variables and geography codes. This is your escape hatch for specialized data needs—you can filter by a precise year or variable type. Because it streams results, your agent can handle highly complex filtering without timing out the front end.

Setup guide

Set up U.S. Census Housing — Home Values, Rent & Real Estate Data MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all U.S. Census Housing — Home Values, Rent & Real Estate Data tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent U.S. Census Housing — Home Values, Rent & Real Estate Data transactions",
});

console.log(text);
await mcpClient.close();

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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 Vercel AI SDK

The `query_census` tool is what you need for that specific variable. Just pass the correct ACS variable code and specify 'home values' in the query parameters. Your agent will stream back the median home values instantly.

Yes. Use `get_housing_by_county` to pull housing metrics for all counties within a single state. This dataset includes both median gross rent figures and ownership rates.

The `query_census` tool accesses the full breadth of ACS variables. You specify what you need—whether it's population counts (B01003_001E) or specific housing metrics—along with the desired geography.

Absolutely. You can call `get_state_profile` to get a complete socioeconomic snapshot for any given state. This includes population counts, income brackets, and housing status.

This server primarily handles residential real estate data, including median home values, gross rent figures, ownership rates, and vacancy counts at both state and county levels.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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