How to Use the HUD User (USPS Crosswalk) MCP in Vercel AI SDK

Q: How can I use HUD User (USPS Crosswalk) with the Vercel AI SDK to find Census tracts?

After connecting the client, pass the ziptotract tool to streamText. Your AI agent can then call it with a ZIP code, and the Vercel AI SDK will stream the resulting tract data directly into your UI.

Q: Can I map a Congressional District back to all its ZIP codes?

You can. The cdtozip tool does exactly that. Provide the state FIPS code and district number, and it returns the associated ZIP codes.

Q: How do I connect the Vercel AI SDK to the HUD User (USPS Crosswalk) MCP server?

Use createMCPClient from @ai-sdk/mcp and provide the Vinkius URL and your token in the HTTP transport options. Then, get the tools with mcpClient.tools() and pass them to your AI model calls.

Stream US Census geography data from the HUD User API directly into your Vercel AI SDK-powered React components.

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Connect HUD User (USPS Crosswalk) MCP to Vercel AI SDK

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Setup HUD User (USPS Crosswalk) with Vercel AI SDK

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Map ZIPs to Census Tracts in Real-Time

Give your AI client a ZIP code and watch the corresponding Census data stream directly into your UI. Use the `zip_to_tract` and `zip_to_county` tools to build live, interactive dashboards that populate without a single loading spinner. It's perfect for apps that need to visualize demographic or housing data on the fly. The Vercel AI SDK is built for this. It takes the tool output from this server and renders it token-by-token. Your users see the data appearing instantly, creating a much more responsive experience than traditional fetch-and-wait cycles.

Build Location-Aware UIs on the Edge

This isn't just a one-way street. Let users interact with your map, click a Census tract, and use the `tract_to_zip` tool to instantly find all associated ZIP codes. The server also includes tools like `county_to_zip` and `cbsa_to_zip` for broader-level reverse lookups. Because this MCP server and the Vercel AI SDK are both compatible with edge functions, these lookups are incredibly fast. You get low-latency geographic conversions no matter where your users are, without having to manage a complex backend.

Your Vercel AI SDK Geographic Data Layer

Stop hunting for different APIs to map US geographies. This server packages ten essential HUD User crosswalk tools, from `zip_to_cbsa` for metropolitan areas to `zip_to_cd` for congressional districts. It's the only endpoint you'll need for this kind of work. Setup is simple. Install the SDK, point it to the Vinkius MCP endpoint with your token, and all ten tools are ready to use in your `generateText` or `streamText` calls. You can focus on building your frontend, not on data sourcing.

Setup guide

Set up HUD User (USPS Crosswalk) 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 HUD User (USPS Crosswalk) 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 HUD User (USPS Crosswalk) 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 HUD User. 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 HUD User (USPS Crosswalk) MCP in Vercel AI SDK

After connecting the client, pass the `zip_to_tract` tool to `streamText`. Your AI agent can then call it with a ZIP code, and the Vercel AI SDK will stream the resulting tract data directly into your UI.

Yes. The server is designed for low-latency lookups, and since it's compatible with edge functions just like the Vercel AI SDK, your users get fast responses for a smooth, real-time experience.

You can. The `cd_to_zip` tool does exactly that. Provide the state FIPS code and district number, and it returns the associated ZIP codes.

Use `createMCPClient` from `@ai-sdk/mcp` and provide the Vinkius URL and your token in the HTTP transport options. Then, get the tools with `mcpClient.tools()` and pass them to your AI model calls.

The server only processes the geographic identifiers you send it, like ZIP codes, county FIPS codes, or Census tract numbers. Vinkius ensures this data is handled in an ephemeral, zero-trust environment, so nothing is stored.

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