Pydantic AISDK

DOL (Department of Labor) MCP Server

Bring Workplace Safety
to Pydantic AI

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

Learn how to connect DOL (Department of Labor) to Pydantic AI and start using 5 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Get Eta DataGet Msha InspectionsGet Msha ViolationsGet Osha InspectionsGet Whd Compliance

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What is the 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.

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.

How it works

Subscribe to this server
Enter your DOL API Key
Query public labor data using natural language in any MCP-compatible client

Who is this for?

Compliance Officers — Monitor safety records and regulatory adherence across industries.
Data Researchers — Analyze labor market trends and workplace safety statistics.
Legal Professionals — Investigate wage and hour compliance history for specific entities.

Built-in capabilities (5)

get_eta_data

Get ETA employment and training data

get_msha_inspections

Get MSHA inspection data

get_msha_violations

Get MSHA violations data

get_osha_inspections

Get OSHA inspection data

get_whd_compliance

Get WHD compliance data

Why Pydantic AI?

Pydantic AI validates every DOL (Department of Labor) tool response against typed schemas, catching data inconsistencies at build time. Connect 5 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your DOL (Department of Labor) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your DOL (Department of Labor) connection logic from agent behavior for testable, maintainable code

See it in action

DOL (Department of Labor) in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

DOL (Department of Labor) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect DOL (Department of Labor) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for DOL (Department of Labor) in Pydantic AI

The DOL (Department of Labor) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 5 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full DOL (Department of Labor) details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures
DOL (Department of Labor) for Pydantic AI

Every tool call from Pydantic AI to the DOL (Department of Labor) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I filter OSHA inspection data by a specific state?

Yes! You can use the filter parameter in the get_osha_inspections tool with OData syntax, such as state_code eq 'CA' for California.

What kind of information does the ETA data tool provide?

The get_eta_data tool fetches information regarding employment and training programs, as well as various labor market statistics managed by the Employment and Training Administration.

How can I limit the number of results returned from a query?

All tools, such as get_msha_violations or get_whd_compliance, include a top parameter. Simply specify a number to limit the results to that amount.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your DOL (Department of Labor) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.