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

Q: How do I deploy the NAICS/SIC Classification API to a multi-agent team in CrewAI?

Add the server URL to your agent definition in the mcps list. Your agents can then share access to the classification tools across the whole crew.

Q: Can I restrict which agents use the NAICS/SIC Classification API in CrewAI?

Yes. Use the toolfilter option. This ensures only the agents responsible for industry research have access to the classification tools.

Scale your autonomous classification teams with the NAICS/SIC Classification API, designed for collaborative CrewAI agents.

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Connect NAICS/SIC Classification API MCP to CrewAI

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

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Specialized agent classification

Assign a researcher agent in your crew to use `search_naics_codes` for finding potential industry matches. The agent then passes these codes to an analyst agent for final verification. This role-based approach keeps your classification accurate. Each agent focuses on a specific part of the taxonomy, reducing the chance of miscategorization.

Detailed taxonomy auditing

Have your moderator agent call `get_classification_details` to audit the code selected by the researcher. It pulls the full metadata to ensure it meets your compliance requirements. Your crew maintains a high standard of accuracy. The moderator rejects any code that doesn't align with the official industry descriptions.

Autonomous status management

Include a monitor agent in your crew that runs `check_api_status` periodically. If the service drops, the monitor pauses the crew's operations to prevent errors. This automation ensures your crew doesn't waste compute on failed requests. It resumes work automatically once the monitor confirms the server is back online.

Setup guide

Set up NAICS/SIC Classification API MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke NAICS/SIC Classification API tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="NAICS/SIC Classification API Analyst",
    goal="Access and analyze NAICS/SIC Classification API data via MCP.",
    backstory="Expert analyst with direct NAICS/SIC Classification API access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent NAICS/SIC Classification API transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="NAICS/SIC Classification API Analyst",
        goal="Access and analyze NAICS/SIC Classification API data via MCP.",
        backstory="Expert analyst with direct NAICS/SIC Classification API access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent NAICS/SIC Classification API transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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Common questions about NAICS/SIC Classification API MCP in CrewAI

Add the server URL to your agent definition in the `mcps` list. Your agents can then share access to the classification tools across the whole crew.

Yes. Use the `tool_filter` option. This ensures only the agents responsible for industry research have access to the classification tools.

The server provides the data, and CrewAI handles the memory. Your agents store the classification results in their shared context for subsequent tasks.

All connections are encrypted. The server treats your industry code queries as transient requests, so your data is never cached or stored on the server side.

Use a sequential process. Have one agent perform the search and a second agent call `get_classification_details` to verify the hierarchical structure of the industry code.

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