How to Use the DOL (Department of Labor) MCP in CrewAI

Run multi-agent CrewAI teams to autonomously analyze DOL safety records and wage compliance.

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Connect DOL (Department of Labor) MCP to CrewAI

Create your Vinkius account to connect DOL (Department of Labor) 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 DOL (Department of Labor) with CrewAI

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Deploy specialized labor compliance crews

Let a crew of autonomous agents coordinate to audit industrial operations. While one agent gathers safety histories, another analyzes wage records to build a complete compliance profile. The research agent uses `get_osha_inspections` to find safety issues, while the finance agent calls `get_whd_compliance` to check wage violations. They share this data in common memory to produce a single, unified risk report.

Monitor mine safety with CrewAI teams

Set up a dedicated monitoring crew to track dangerous industrial environments. This MCP Server gives your agents direct access to federal mine safety data without requiring custom scrapers. Your lead agent queries `get_msha_inspections` and `get_msha_violations` to flag active mine hazards. A secondary agent pulls `get_eta_data` to verify if local training initiatives are matching the regional safety needs.

Automate regulatory escalation paths

Build hierarchical agent teams that know when to escalate a case. A junior agent can flag potential issues, while a supervisor agent decides whether to initiate a full compliance review. The agent uses `get_whd_compliance` to identify systemic underpayments. If the back-wages exceed a certain threshold, the crew automatically escalates the file to your legal review agent.

Setup guide

Set up DOL (Department of Labor) 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 DOL (Department of Labor) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent DOL (Department of Labor) 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 →

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="DOL (Department of Labor) Analyst",
        goal="Access and analyze DOL (Department of Labor) data via MCP.",
        backstory="Expert analyst with direct DOL (Department of Labor) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent DOL (Department of Labor) 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 →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DOL (Department of Labor). 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.

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Common questions about DOL (Department of Labor) MCP in CrewAI

You pass the Vinkius URL directly to the agent's MCP configurations during initialization. The CrewAI framework automatically discovers the tools and makes them available to your specialized agents.

Yes, you can assign different roles to your crew members. One agent can focus on safety using `get_osha_inspections` while another analyzes the results to flag high-risk workplaces.

CrewAI agents use a shared memory system. When the research agent pulls wage data using `get_whd_compliance`, that information is instantly accessible to the analyst agent in the same crew.

Yes, the server supports stdio, SSE, and Streamable HTTP transports. CrewAI can connect to the Vinkius hosted endpoint over secure HTTP with a single token.

The system only accesses public records, specifically OSHA safety inspections, MSHA mine violation databases, and WHD compliance histories. No private worker identities, personal identifiers, or proprietary business finances are ever touched or stored.

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