How to Use the BLS Public Data API MCP in Vercel AI SDK

Pull labor statistics directly into your Vercel AI SDK frontends for live, streaming economic data visualization.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect BLS Public Data API MCP to Vercel AI SDK

Create your Vinkius account to connect BLS Public Data API 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.

GDPR Free for Subscribers

Setup BLS Public Data API with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Verify BLS Public Data API status in Vercel AI SDK

Run `check_api_status` to confirm the labor statistics feed is live before your component attempts to render data. This prevents empty UI states when the government servers are down. Your React or Next.js app gets a simple boolean response. It tells your code exactly when to trigger a retry or show a maintenance notice to your users.

Fetch economic time series data

Pass your series IDs directly into `get_bls_timeseries_data` to stream labor trends into your interface. The tool returns raw JSON that your frontend handles immediately. This keeps your users watching the data load rather than staring at a static spinner. It makes your dashboard feel responsive and alive while the numbers populate.

Managed MCP server connectivity

Vinkius handles the underlying transport and authentication for your Vercel AI SDK implementation. You just point your client to the endpoint. It removes the headache of managing local server instances or complex proxy setups. You focus on building components while we keep the connection steady.

Setup guide

Set up BLS Public Data API 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 Public Data API 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 Public Data API 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 BLS. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect BLS Public Data API now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BLS Public Data API MCP in Vercel AI SDK

You initialize the client using the Vinkius endpoint and add the tools to your streamText call. It maps the server functions to your agent's tool set automatically.

Yes, you provide a comma-separated string of IDs to the tool. It returns the full set of time series data in a single response packet for your frontend.

The server returns the requested JSON payload directly. You should implement pagination or filtering in your UI logic to handle high-volume economic datasets.

Vinkius records metadata regarding request volume to ensure service reliability. We do not store the specific labor statistics or economic series you request.

All traffic travels over encrypted tunnels established by your endpoint token. Your AI client communicates only with the Vinkius sandbox, keeping your environment isolated.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript