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

Q: Does the NAICS/SIC Classification API support manual approval in Mastra AI?

Yes. Use the requireToolApproval setting on your agent. This lets you inspect the classification result before the workflow proceeds to the next step.

Q: Can I use both NAICS and SIC tools from the NAICS/SIC Classification API in one Mastra AI workflow?

Absolutely. You can chain searchnaicscodes and searchsiccodes to compare results. This helps when your legacy records use mixed coding systems.

Build resilient industry classification workflows in Mastra AI with automatic retries and conditional logic.

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Connect NAICS/SIC Classification API MCP to Mastra AI

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Setup NAICS/SIC Classification API with Mastra AI

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Perplexity

Branching classification logic

Use `search_naics_codes` within your Mastra AI workflow to decide the next step in your agent's process. If the confidence score is low, route the request to a manual review agent. This keeps your pipeline moving. You can build complex, multi-step operations that handle industry mapping without stopping for human input.

Automated SIC code verification

Integrate `search_sic_codes` into your agent's toolset to validate legacy data automatically. If the API returns no match, your workflow can trigger a retry with a broader search term. This reduces manual data entry errors. Your agent manages the search loop until it finds a valid code or exhausts all search parameters.

Reliable API health checks

Configure your Mastra AI agents to run `check_api_status` before starting a batch classification task. If the server is offline, the workflow engine waits or alerts an admin. You avoid failed jobs. The agent only attempts to classify once it confirms the industry taxonomy server is healthy and responding.

Setup guide

Set up NAICS/SIC Classification API MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All NAICS/SIC Classification API tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "naicssic-classification-api-mcp-client",
  servers: {
    "naicssic-classification-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "NAICS/SIC Classification API Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to NAICS/SIC Classification API tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent NAICS/SIC Classification API transactions"
);
console.log(result.text);

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Common questions about NAICS/SIC Classification API MCP in Mastra AI

Yes. Just register the server in your Mastra agent definition. You can then call the search tools as part of any multi-step workflow.

Yes. Use the `requireToolApproval` setting on your agent. This lets you inspect the classification result before the workflow proceeds to the next step.

Mastra handles the logic. You can set up automatic retries for the classification tools. If the API hits a rate limit, the agent backs off and tries again.

The server only processes your query string against the industry taxonomy. It does not log or persist the input descriptions you send through the tools.

Absolutely. You can chain `search_naics_codes` and `search_sic_codes` to compare results. This helps when your legacy records use mixed coding systems.

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