How to Use the BLS JOLTS — Job Openings, Quits & Turnover MCP in Vercel AI SDK

Pipe real-time US labor market data directly into your Next.js UI using Vercel AI SDK and this JOLTS MCP Server.

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Connect BLS JOLTS — Job Openings, Quits & Turnover MCP to Vercel AI SDK

Create your Vinkius account to connect BLS JOLTS — Job Openings, Quits & Turnover 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 JOLTS — Job Openings, Quits & Turnover with Vercel AI SDK

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Pipe JOLTS data directly to React with Vercel AI SDK

`get_jolts_data` feeds raw Bureau of Labor Statistics hiring and quit metrics straight into your frontend stream. Your users watch labor market charts draw in real-time as the data arrives from the federal database, skipping the typical loading spinners entirely. By configuring this MCP Server with `createMCPClient`, you bind the BLS API directly to your edge runtime. The SDK pipes the voluntary quit rates directly into your React components for instant layout rendering.

Query raw BLS timeseries on the edge

`query_bls` lets your model pull up to 50 concurrent lookbacks for deep economic analysis. Your application processes these massive datasets on the edge, keeping latency low even when fetching decades of employment trends. You pass the tool list directly into `streamText` to let the model decide when to query specific series IDs. The resulting JSON payload streams straight to the client browser without blocking the main execution thread.

Build live economic dashboards

`get_jolts_data` serves live hiring, firing, and job opening data to feed interactive dashboards. Your AI client parses the incoming numbers and updates the UI state on the fly. The Vercel AI SDK integration relies on standard server-sent events to pull JOLTS data with a lightweight footprint. Clean up resources immediately after the labor market stream finishes by calling close on your SDK client.

Setup guide

Set up BLS JOLTS — Job Openings, Quits & Turnover 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 JOLTS — Job Openings, Quits & Turnover 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 JOLTS — Job Openings, Quits & Turnover transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bureau of Labor Statistics. 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 BLS JOLTS — Job Openings, Quits & Turnover MCP in Vercel AI SDK

The SDK uses server-sent events to pipe labor metrics directly into your frontend stream. You call `streamText` with the `get_jolts_data` tool to render hiring trends in your UI as they load.

Yes, you can run up to 50 concurrent lookbacks. The model calls `query_bls` using specific BLS series IDs and streams the combined JSON response back to your React components.

No, this MCP Server runs inside edge functions. You initialize the client with `createMCPClient` and execute queries directly from your Next.js API routes.

Always invoke the close method on your client instance once the stream completes. This prevents hanging HTTP connections and keeps your Vercel serverless executions clean.

Vinkius runs the server in a zero-trust, ephemeral V8 isolate sandbox. Your labor market queries and endpoint tokens never persist on disk, keeping your economic research private.

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