How to Use the NAICS/SIC Classification API MCP in AutoGen

Q: How do I load the NAICS/SIC Classification API into AutoGen?

Use mcpservertools with standard HTTP or stdio parameters. Pass the resulting tool list into your AssistantAgent constructor.

Give your AutoGen multi-agent squads the ability to debate and assign federal industry codes.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect NAICS/SIC Classification API MCP to AutoGen

Create your Vinkius account to connect NAICS/SIC Classification API to AutoGen 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 NAICS/SIC Classification API with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

AutoGen MCP Server Integration

The `search_naics_codes` tool equips your research agents to find modern industry classifications via this MCP server. One agent searches the database, while a compliance agent reviews the results to ensure the match fits the underwriting guidelines. This creates a system where classification isn't just a blind guess. The agents argue over edge cases in the taxonomy until they reach a consensus on the correct code.

Verify Classifications Automatically

The `get_classification_details` tool retrieves the exact federal definition of a code so your auditor agent can verify the initial match. Sometimes a high-level category looks right until you read the fine print. A primary agent might propose a specific software sector. The auditor pulls the full description via the MCP protocol and rejects the proposal if the company actually belongs in a hardware category.

Handle Legacy Financial Standards

By calling `search_sic_codes`, your agents can map modern companies back to the 1987 Standard Industrial Classification system. Older banking APIs often demand these specific legacy numbers. Your supervisor agent can run `check_api_status` before starting a massive batch conversion. If the taxonomy service is unreachable, the supervisor halts the conversation instead of letting the worker agents hallucinate fake codes.

Setup guide

Set up NAICS/SIC Classification API MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes NAICS/SIC Classification API tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="NAICS/SIC Classification API_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent NAICS/SIC Classification API data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="NAICS/SIC Classification API_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent NAICS/SIC Classification API data")
    print(result.messages[-1].content)

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 Brand.dev. 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 NAICS/SIC Classification 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 NAICS/SIC Classification API MCP in AutoGen

You assign the tools to a specific worker agent. That worker handles the taxonomy queries and reports the findings back to the group chat for discussion.

Yes. If a compliance agent rejects a proposed code, the worker agent can run a new search with different keywords to find a better match.

You define the resolution rules in your system prompt. The supervisor agent usually makes the final call based on the detailed metadata pulled from the tools.

Use `mcp_server_tools` with standard HTTP or stdio parameters. Pass the resulting tool list into your `AssistantAgent` constructor.

The architecture only transmits your specific search keywords and numeric identifiers. You never send full client profiles or sensitive underwriting data across the wire. The service strictly returns public industry definitions.

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