How to Use the NAICS/SIC Classification API MCP in Vercel AI SDK

Q: How do I perform a search with the NAICS/SIC Classification API using Vercel AI SDK?

You initialize the client and pass the tools to generateText. Then, call searchnaicscodes or searchsiccodes inside your tool execution block. The results stream back to your UI immediately.

Q: Does the NAICS/SIC Classification API require custom headers in Vercel AI SDK?

Only the standard endpoint token. You pass this to the authProvider during client initialization. That's all you need to start querying.

Q: How do I ensure the NAICS/SIC Classification API is active before my Vercel AI SDK agent starts?

Run checkapistatus as a pre-flight check in your app boot sequence. It returns a simple health signal that lets you confirm the service is ready.

Stream NAICS and SIC industry data directly into your Vercel AI SDK frontends for live, code-based classification feedback.

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Connect NAICS/SIC Classification API MCP to Vercel AI SDK

Create your Vinkius account to connect NAICS/SIC Classification 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.

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Setup NAICS/SIC Classification API with Vercel AI SDK

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Real-time industry code lookup

Feed your UI live classification results by piping the `search_naics_codes` output straight into your streaming response. Users see the industry match appear as the AI processes the company description. This bypasses the need for clunky loading states. Your frontend handles the data as it arrives, keeping the user experience snappy and responsive.

Instant metadata parsing

Get granular details for any industry code by calling `get_classification_details` within your SDK logic. It pulls the exact description needed to populate your forms or validation components. You don't have to manage local taxonomy files. Just query the server and render the object properties directly in your React or Next.js views.

Health monitoring via SDK

Keep your integration stable by adding a `check_api_status` call to your startup sequence. It confirms the server is reachable before you attempt high-volume classification tasks. If the connection fails, you can trigger a fallback UI state immediately. This ensures your Vercel AI SDK agent never sits waiting for a dead endpoint.

Setup guide

Set up NAICS/SIC Classification 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 NAICS/SIC Classification 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 NAICS/SIC Classification API transactions",
});

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

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Common questions about NAICS/SIC Classification API MCP in Vercel AI SDK

You initialize the client and pass the tools to `generateText`. Then, call `search_naics_codes` or `search_sic_codes` inside your tool execution block. The results stream back to your UI immediately.

Yes. The server is optimized for fast lookups. Since it runs over HTTP, your edge functions handle the classification requests without adding significant latency.

It doesn't store your user data. The server only holds the public industry taxonomy tables. Your agent queries these tables, gets the code, and moves on.

Only the standard endpoint token. You pass this to the `authProvider` during client initialization. That's all you need to start querying.

Run `check_api_status` as a pre-flight check in your app boot sequence. It returns a simple health signal that lets you confirm the service is ready.

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