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How to Use the DOL (Department of Labor) MCP in Vercel AI SDK

Display real-time Department of Labor compliance and OSHA safety data directly in your Vercel AI SDK frontend.

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Connect DOL (Department of Labor) MCP to Vercel AI SDK

Create your Vinkius account to connect DOL (Department of Labor) 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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Track active OSHA inspections in real-time UI

Your Vercel AI SDK frontend can now render active labor safety records without making users wait for a full page reload. By connecting this MCP Server, your streaming UI elements display live workplace safety metrics the second the model pulls them. The agent uses `get_osha_inspections` to scan specific business names, feeding structured safety data directly into your React or Next.js components. Users watch the raw inspection history populate their dashboard line by line.

Expose wage and hour violations instantly

Display payroll compliance histories directly inside your edge-rendered applications. This setup bypasses slow database queries by letting your AI client query federal records on demand using this MCP Server. When a user asks about a company's history, the agent calls `get_whd_compliance` to pull Wage and Hour Division records. The resulting compliance metrics stream straight into your interactive UI, showing back-wage statistics and civil penalties instantly.

Render mine safety trends in Vercel AI SDK

Build deep industrial safety dashboards that load on the edge. This MCP Server lets your application fetch complex federal training numbers and mine safety records without heavy backend plumbing. The agent calls `get_msha_violations` and `get_msha_inspections` to retrieve coal or metal mine records, while `get_eta_data` handles employment training statistics. Your Next.js or React frontend renders these datasets as they stream, keeping the user experience fast and responsive.

Setup guide

Set up DOL (Department of Labor) 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all DOL (Department of Labor) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 DOL (Department of Labor) transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DOL (Department of Labor). 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 DOL (Department of Labor) MCP in Vercel AI SDK

You set up the MCP client in your route handler and pass the tools to `streamText`. When the agent calls `get_osha_inspections`, the tool outputs stream directly to your React components.
Yes, this server runs in a zero-trust sandbox that is fully compatible with edge runtimes. Your agent can run `get_whd_compliance` on the edge to check employer wage histories without cold-start delays.
The SDK manages the streaming connection while Vinkius handles the underlying API key authentication and rate limiting. If `get_msha_inspections` hits a temporary federal bottleneck, the system retries the request behind the scenes.
No, the server returns clean, structured Markdown tables directly to your agent. Your frontend receives formatted text that can be immediately rendered using standard markdown components.
This server only reads public federal records, including OSHA inspection logs, MSHA safety violations, and WHD wage compliance history. No private employer payroll documents or individual worker identities are ever touched or stored by Vinkius.

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