How to Use the U.S. Census Income — Median Income, Poverty & Economy MCP in Vercel AI SDK

Q: How do I check U.S. Census Income — Median Income, Poverty & Economy using Vercel AI SDK?

You call mcpClient.tools() to access the MCP Server's functions. Then, you pass the necessary parameters (like a state or county name) into your streamText function. The result streams back immediately, allowing instant UI updates.

Q: How do I use the U.S. Census Income — Median Income, Poverty & Economy tools with Vercel AI SDK?

You initialize your client connection using createMCPClient() and then call the specific tool function—for example, mcpClient.geteducationbystate(). The response is handled via the streaming methods.

Real-Time Data Insights for Vercel AI SDK: Show Census Income to your users live.

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Connect U.S. Census Income — Median Income, Poverty & Economy MCP to Vercel AI SDK

Create your Vinkius account to connect U.S. Census Income — Median Income, Poverty & Economy 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 Income — Median Income, Poverty & Economy with Vercel AI SDK

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Examine local economic activity with the MCP Server.

The `get_business_patterns` tool pulls data from County Business Patterns (CBP). You get establishments, employees, and payroll counts broken down by county. This is perfect for showing users where business concentration is highest in a React component. You'll see local economic activity visualized instantly on the frontend. The results stream directly into your UI as the user waits, eliminating that annoying loading spinner.

Compare educational levels across states.

Use `get_education_by_state` to pull educational attainment data for every state. This tool reports on bachelor's degree or higher status. It helps you build comparison charts showing development gaps between regions. Whether you’re building a dashboard or a simple widget, the education levels pop into your UI in real-time. Your users see the data appear as it arrives from the Census.

Map income and poverty rates using Vercel AI SDK.

The `get_income_by_county` tool provides median household income and poverty for all counties in a state. This mechanism is critical when designing real estate analysis tools or helping clients select business sites. You'll get precise, granular data points streamed to your Next.js page. It’s fast enough that the end user thinks the AI just read it off a map.

Setup guide

Set up U.S. Census Income — Median Income, Poverty & Economy 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 Income — Median Income, Poverty & Economy 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 Income — Median Income, Poverty & Economy 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 Income — Median Income, Poverty & Economy MCP in Vercel AI SDK

You call `mcpClient.tools()` to access the MCP Server's functions. Then, you pass the necessary parameters (like a state or county name) into your streamText function. The result streams back immediately, allowing instant UI updates.

Yep. You can run multiple tools in sequence: grab state income with `get_income_by_state`, and then drill down to county-level details using `get_income_by_county`. The streaming nature means you see the full picture piece by piece.

It touches several key types of census data: median household income and poverty rates, educational attainment levels, county business patterns (CBP), and state-level economic metrics.

You initialize your client connection using `createMCPClient()` and then call the specific tool function—for example, `mcpClient.get_education_by_state()`. The response is handled via the streaming methods.

It's designed to work with modern web stacks like yours. Because it streams results, you get real-time data flow that feels native and responsive in your application.

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