How to Use the BLS Local — LAUS State & County Unemployment MCP in Vercel AI SDK

Q: How does BLS Local — LAUS State & County Unemployment handle large datasets in Vercel AI SDK?

It uses the querybls tool to request specific timeseries IDs. This keeps your payload small and your application responsive.

Stream BLS Local — LAUS State & County Unemployment data directly into your Vercel AI SDK frontend for live, reactive UI updates.

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Connect BLS Local — LAUS State & County Unemployment MCP to Vercel AI SDK

Create your Vinkius account to connect BLS Local — LAUS State & County Unemployment 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 BLS Local — LAUS State & County Unemployment with Vercel AI SDK

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Real-time unemployment data for Vercel AI SDK

Feed government labor stats directly into your React components. The `query_bls` tool pulls raw timeseries data that the SDK renders instantly as users type. Stop waiting for spinners. This MCP Server pushes employment figures into your streaming response, letting your UI update as the data arrives from the BLS.

Granular labor metrics for your dashboard

Access specific county and state unemployment series with precise ID lookups. Your Vercel AI SDK app handles the heavy lifting by mapping these series to visual charts. Keep your logic clean by offloading the fetch to the server. You pipe the `query_bls` results straight into your state management.

Edge-ready government data integration

Deploy your labor analytics tools to the edge without overhead. Because this MCP Server runs in a V8 sandbox, your Vercel AI SDK functions stay lightweight. Handle up to 50 concurrent lookbacks without hitting rate limits. Your code stays fast while the `query_bls` tool manages the connection to the BLS infrastructure.

Setup guide

Set up BLS Local — LAUS State & County Unemployment 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 BLS Local — LAUS State & County Unemployment 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 BLS Local — LAUS State & County Unemployment transactions",
});

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

Get your connection token →

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Common questions about BLS Local — LAUS State & County Unemployment MCP in Vercel AI SDK

Yes. Simply install the MCP client package and define the server endpoint in your configuration. Your AI client handles the rest.

It uses the `query_bls` tool to request specific timeseries IDs. This keeps your payload small and your application responsive.

We isolate every request in a V8 sandbox. Your API tokens and unemployment data never leak between sessions.

The server manages the connection lifecycle. You get the data as soon as it's available, keeping your UI fluid.

Not at all. You point your client to the Vinkius endpoint and you're ready to query.

Use it with your favorite AI tools

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

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