DOL (Department of Labor) MCP Server for CrewAIGive CrewAI instant access to 5 tools to Get Eta Data, Get Msha Inspections, Get Msha Violations, and more

Name: DOL (Department of Labor)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to DOL (Department of Labor) through Vinkius, pass the Edge URL in the `mcps` parameter and every DOL (Department of Labor) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The DOL (Department of Labor) MCP Server for CrewAI is a standout in the Industry Titans category — giving your AI agent 5 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="DOL (Department of Labor) Specialist",
    goal="Help users interact with DOL (Department of Labor) effectively",
    backstory=(
        "You are an expert at leveraging DOL (Department of Labor) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in DOL (Department of Labor) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 5 available tools "
        "and what they can do."
    ),
)

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

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About DOL (Department of Labor) MCP Server

Access comprehensive labor data from the U.S. Department of Labor (DOL). This server provides tools to query critical datasets including workplace safety inspections, mine safety violations, wage compliance records, and employment training statistics.

When paired with CrewAI, DOL (Department of Labor) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call DOL (Department of Labor) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

OSHA Inspections — Retrieve health and safety inspection records via get_osha_inspections to monitor workplace compliance.
MSHA Safety — Access mine safety inspection data (get_msha_inspections) and violation records (get_msha_violations) to ensure industrial safety standards.
WHD Compliance — Query Wage and Hour Division data via get_whd_compliance regarding labor law investigations and compliance history.
ETA Statistics — Fetch labor market data and information on job training programs using get_eta_data.

The DOL (Department of Labor) MCP Server exposes 5 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 5 DOL (Department of Labor) tools available for CrewAI

When CrewAI connects to DOL (Department of Labor) through Vinkius, your AI agent gets direct access to every tool listed below — spanning workplace-safety, osha, labor-standards, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get eta data on DOL (Department of Labor)

Get ETA employment and training data

get

Get msha inspections on DOL (Department of Labor)

Get MSHA inspection data

get

Get msha violations on DOL (Department of Labor)

Get MSHA violations data

get

Get osha inspections on DOL (Department of Labor)

Get OSHA inspection data

get

Get whd compliance on DOL (Department of Labor)

Get WHD compliance data

Connect DOL (Department of Labor) to CrewAI via MCP

Follow these steps to wire DOL (Department of Labor) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 5 tools from DOL (Department of Labor)

Why Use CrewAI with the DOL (Department of Labor) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with DOL (Department of Labor) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

DOL (Department of Labor) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the DOL (Department of Labor) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries DOL (Department of Labor) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries DOL (Department of Labor), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain DOL (Department of Labor) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries DOL (Department of Labor) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for DOL (Department of Labor) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with DOL (Department of Labor) immediately.

"List the top 5 OSHA inspections in New York."

"Show me recent MSHA violations ordered by date."

"Get wage and hour compliance data for the state of Texas."

Troubleshooting DOL (Department of Labor) MCP Server with CrewAI

Common issues when connecting DOL (Department of Labor) to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

DOL (Department of Labor) + CrewAI FAQ

Common questions about integrating DOL (Department of Labor) MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.