How do I find my Brand.dev API Key?

Log in to your [**Brand.dev dashboard**](https://brand.dev/), and you will find your API Key in the 'API' section. Copy and paste it below.

What is the difference between NAICS and SIC?

SIC is the older classification system, while NAICS is the modern standard used by North American statistical agencies. Both provide hierarchical metadata for industries.

Can the agent show industry descriptions?

Yes. The `get_classification_details` tool retrieves the official title and detailed description for any valid classification code.

NAICS/SIC Classification API MCP Server for Pydantic AI 4 tools — connect in under 2 minutes

Name: NAICS/SIC Classification API
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 4 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect NAICS/SIC Classification API through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to NAICS/SIC Classification API "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in NAICS/SIC Classification API?"
    )
    print(result.data)

asyncio.run(main())

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About NAICS/SIC Classification API MCP Server

Empower your AI agent to orchestrate your entire market research and industry auditing workflow with the NAICS/SIC Classification API, the authoritative source for standardized business classification data. By connecting the Brand.dev classification service to your agent, you transform complex industry searches into a natural conversation. Your agent can instantly retrieve NAICS and SIC codes, audit industry titles, and query specific classification metadata without you ever touching a technical portal. Whether you are conducting competitive analysis or managing regional data constraints, your agent acts as a real-time market consultant, ensuring your data is always verified and precise.

Pydantic AI validates every NAICS/SIC Classification API tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Code Auditing — Search for thousands of NAICS and SIC codes by keyword and retrieve high-resolution metadata, including titles and descriptions.
Industry Oversight — Audit the hierarchical distribution of classification codes to understand the current industry lead in market segmentation instantly.
Metadata Intelligence — Retrieve unique identifiers and category markers for any record to assist in deep-dive archival classification.
Classification Discovery — Identify relevant industry markers for your business development or research projects through natural language interaction.
Operational Monitoring — Check API status to ensure your market research workflow is always operational.

The NAICS/SIC Classification API MCP Server exposes 4 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect NAICS/SIC Classification API to Pydantic AI via MCP

Follow these steps to integrate the NAICS/SIC Classification API MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 4 tools from NAICS/SIC Classification API with type-safe schemas

Why Use Pydantic AI with the NAICS/SIC Classification API MCP Server

Pydantic AI provides unique advantages when paired with NAICS/SIC Classification API through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your NAICS/SIC Classification API integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your NAICS/SIC Classification API connection logic from agent behavior for testable, maintainable code

NAICS/SIC Classification API + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the NAICS/SIC Classification API MCP Server delivers measurable value.

Type-safe data pipelines: query NAICS/SIC Classification API with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple NAICS/SIC Classification API tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query NAICS/SIC Classification API and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock NAICS/SIC Classification API responses and write comprehensive agent tests

NAICS/SIC Classification API MCP Tools for Pydantic AI (4)

These 4 tools become available when you connect NAICS/SIC Classification API to Pydantic AI via MCP:

check_api_status

dev Classification API. Check if the NAICS/SIC service is operational

get_classification_details

Get full metadata and description for a specific NAICS or SIC code

search_naics_codes

Search for NAICS (North American Industry Classification System) codes

search_sic_codes

Search for SIC (Standard Industrial Classification) codes

Example Prompts for NAICS/SIC Classification API in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with NAICS/SIC Classification API immediately.

"Search for NAICS codes related to 'software' using Brand.dev."

"What is the industry for SIC code '7371'?"

"Search for SIC codes matching 'manufacturing'."

Troubleshooting NAICS/SIC Classification API MCP Server with Pydantic AI

Common issues when connecting NAICS/SIC Classification API to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

NAICS/SIC Classification API + Pydantic AI FAQ

Common questions about integrating NAICS/SIC Classification API MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your NAICS/SIC Classification API MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.