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

Q: How do I pass the NAICS/SIC Classification API tools to my LangChain agent?

Install langchain-mcp-adapters. Initialize a MultiServerMCPClient, call client.gettools(), and pass that array directly into your agent constructor.

Build multi-step industry classification pipelines in LangChain using exact NAICS and SIC taxonomy data.

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Connect NAICS/SIC Classification API MCP to LangChain

Create your Vinkius account to connect NAICS/SIC Classification API to LangChain 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 LangChain

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LangChain MCP Server Integration

The `search_naics_codes` tool lets your agent find modern industry classifications based on raw text inputs. You drop this into a ReAct agent, and it immediately starts mapping messy company descriptions to standardized federal codes. Connect this directly to your CRM evaluation chains. If the initial search returns multiple hits, the agent can loop back and refine its query until it hits a high-confidence match.

Extract Full Classification Details

Using `get_classification_details`, your agent pulls the complete metadata and regulatory descriptions for any specific NAICS or SIC code. This happens mid-chain, turning a raw number into a readable text block for downstream processing. That context matters when you feed the output to another LLM prompt. Instead of just passing "541511", your pipeline passes the exact federal definition of custom computer programming services.

Bridge Legacy and Modern Taxonomies

The `search_sic_codes` tool gives your LangChain pipelines access to the older 1987 Standard Industrial Classification dataset. Many legacy financial systems still require these outdated identifiers to process vendor applications. You can build a routing chain that pulls both standards simultaneously. Before running any heavy data processing, your agent fires `check_api_status` to ensure the taxonomy database is online and responding.

Setup guide

Set up NAICS/SIC Classification API MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes NAICS/SIC Classification API tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "naicssic-classification-api-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent NAICS/SIC Classification API transactions"
    })
    print(result["messages"][-1].content)

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Common questions about NAICS/SIC Classification API MCP in LangChain

Set up a ReAct agent with the search tools. The agent will read the description, generate a keyword query, and execute the search tool to find the closest match.

Yes. You can wrap the tools in a caching layer within your chain. This prevents duplicate network calls when processing lists of companies in the same sector.

Your agent should verify connectivity first. Program your chain to run the status check tool before initiating a massive batch mapping sequence.

Install `langchain-mcp-adapters`. Initialize a `MultiServerMCPClient`, call `client.get_tools()`, and pass that array directly into your agent constructor.

This integration only processes search strings and industry codes. No PII or proprietary customer data leaves your environment. The server simply receives a text query like "software" and returns public federal taxonomy definitions.

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