How to Use the BLS Jobs — Nonfarm Payrolls & Wages MCP in Vercel AI SDK

Stream US employment data directly into your Vercel AI SDK frontends for live, reactive job market dashboards.

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Connect BLS Jobs — Nonfarm Payrolls & Wages MCP to Vercel AI SDK

Create your Vinkius account to connect BLS Jobs — Nonfarm Payrolls & Wages 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 Jobs — Nonfarm Payrolls & Wages with Vercel AI SDK

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Real-time payroll tracking in AI SDK

Feed your UI live employment figures without waiting for backend bottlenecks. By calling `get_nonfarm_payrolls` inside your streamText functions, you push CES0000000001 data straight to your React or Next.js components. Your users watch the numbers populate as the AI fetches them. It removes the standard loading spinner, showing the job market shift in real-time.

Direct BLS queries via Vercel AI SDK

Handle complex time-series lookups using `query_bls` for specific industry segments. You gain full control over the 50 concurrent lookbacks without manually parsing external REST responses. This MCP Server handles the connection logic while your code focuses on rendering charts. It keeps your Edge Functions lean by offloading the raw API parsing.

Data-driven UI updates

Bind your frontend state directly to the tool output. When the agent receives the nonfarm payroll results, the UI updates instantly to reflect the latest economic pulse. This connection keeps your application state synchronized with the BLS. Your users see accurate job statistics the moment the agent finishes its work.

Setup guide

Set up BLS Jobs — Nonfarm Payrolls & Wages 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 Jobs — Nonfarm Payrolls & Wages 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 Jobs — Nonfarm Payrolls & Wages transactions",
});

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

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Common questions about BLS Jobs — Nonfarm Payrolls & Wages MCP in Vercel AI SDK

Install the necessary packages and initialize the client using the provided endpoint. Use the `get_nonfarm_payrolls` tool within your generation logic to pull the data.

Yes, the streaming architecture allows new data to hit the screen immediately. Your React components react to the tool output as it arrives.

The server architecture isolates your credentials from the client-side code. Only the Vinkius-managed endpoint interacts with the raw data.

The agent receives a standard error message from the server. You can write custom handlers in your Vercel AI SDK code to manage these exceptions.

We only access public Bureau of Labor Statistics data. Your application environment remains isolated, and no proprietary user information enters the request pipeline.

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