How to Use the DOL (Department of Labor) MCP in OpenAI Agents SDK

Deploy production-grade OpenAI Agents SDK systems that query real-time federal safety and wage records without manual data pipeline setup.

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Connect DOL (Department of Labor) MCP to OpenAI Agents SDK

Create your Vinkius account to connect DOL (Department of Labor) to OpenAI Agents SDK 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 OpenAI Agents SDK

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Automate OSHA auditing with OpenAI Agents SDK

The OpenAI Agents SDK streams active establishment safety records via `get_osha_inspections` directly into your agent runtime. Analyzing these specific historical violations helps your agent flag high-risk worksites before dispatching field inspectors. The OpenAI dashboard traces every `get_osha_inspections` call, letting you monitor exactly how your agent handles workplace safety data. You define the guardrails, preventing the agent from acting on outdated federal records.

Coordinate specialized wage and training agents

Routing `get_whd_compliance` histories to targeted corporate entities is handled by the OpenAI Agents SDK. This tool feeds clean enforcement histories to your specialized compliance agent. Using built-in agent handoffs, the compliance agent passes complex cases to a training agent. That secondary agent immediately calls `get_eta_data` to verify if the business participates in registered apprenticeship programs.

Analyze mine safety records with zero configuration

The OpenAI Agents SDK auto-discovers `get_msha_inspections` to expose deep mining inspection histories to your agent stream. Booting the SDK registers this tool automatically, removing the need to write custom API wrappers for federal databases. If a mine shows a pattern of neglect, the agent calls `get_msha_violations` to pull specific citation details. This direct OpenAI pipeline ensures your safety reports rely on raw federal data, not stale local spreadsheets.

Setup guide

Set up DOL (Department of Labor) MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all DOL (Department of Labor) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives DOL (Department of Labor) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate DOL (Department of Labor) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="DOL (Department of Labor) Agent",
            instructions="You have access to DOL (Department of Labor) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

During initialization, the OpenAI Agents SDK queries the endpoint and maps all five DOL tools automatically. Your Python code registers `get_osha_inspections` and `get_whd_compliance` without manual schema declarations.

Yes, you configure this by filtering the tools array during OpenAI Agent initialization. If you only want to expose mine safety, pass `get_msha_inspections` and `get_msha_violations` to the constructor.

You write validation functions that intercept arguments before the OpenAI Agents SDK calls `get_whd_compliance`. This setup stops the agent from making recursive API calls or querying unauthorized employer names.

Vinkius manages the connection pool and handles API keys for the federal endpoints. Turn on `cacheToolsList` in your OpenAI Agent configuration to reduce overhead when querying `get_eta_data` repeatedly.

The system processes all DOL inspection and wage data within an ephemeral V8 sandbox. No compliance history or violation details are stored on disk, keeping federal audit records isolated.

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