How reliable is OEWS compared to private job boards?

Extremely. OEWS pulls directly from true tax and payroll disclosures to the government, eliminating inflated self-reported figures typical on private job sites.

Only one single Key is required from the registration page. Simply plug it into the settings page and access the entire 20-year catalog of wage distribution profiles globally.

Why is wage data a unique server?

Because querying compensation brackets specific to states and detailed codes (like separating Senior vs Junior codes horizontally) takes specialized tool structures optimally tailored here.

BLS Wages — OEWS Occupational Employment MCP Server for OpenAI Agents SDK 1 tools — connect in under 2 minutes

Name: BLS Wages — OEWS Occupational Employment
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 1 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect BLS Wages — OEWS Occupational Employment through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

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Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="BLS Wages — OEWS Occupational Employment Assistant",
            instructions=(
                "You help users interact with BLS Wages — OEWS Occupational Employment. "
                "You have access to 1 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from BLS Wages — OEWS Occupational Employment"
        )
        print(result.final_output)

asyncio.run(main())

BLS Wages — OEWS Occupational Employment

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60%Token savings

High SecurityEnterprise-grade

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EU AI ActCompliant

DLPData protection

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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

About BLS Wages — OEWS Occupational Employment MCP Server

If you need to know exactly how much a 'registered nurse in Texas' or a 'software engineer in Illinois' earns, OEWS is your required dataset.

The OpenAI Agents SDK auto-discovers all 1 tools from BLS Wages — OEWS Occupational Employment through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries BLS Wages — OEWS Occupational Employment, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can find

Median / Average Pay — Discover true wage distributions percentiles.
Occupation Codes — Maps hundreds of distinct professions.
State Comparisons — Compare geographic locations for job offers.

The BLS Wages — OEWS Occupational Employment MCP Server exposes 1 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect BLS Wages — OEWS Occupational Employment to OpenAI Agents SDK via MCP

Follow these steps to integrate the BLS Wages — OEWS Occupational Employment MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 1 tools from BLS Wages — OEWS Occupational Employment

Why Use OpenAI Agents SDK with the BLS Wages — OEWS Occupational Employment MCP Server

OpenAI Agents SDK provides unique advantages when paired with BLS Wages — OEWS Occupational Employment through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

BLS Wages — OEWS Occupational Employment + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the BLS Wages — OEWS Occupational Employment MCP Server delivers measurable value.

Automated workflows: build agents that query BLS Wages — OEWS Occupational Employment, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries BLS Wages — OEWS Occupational Employment, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through BLS Wages — OEWS Occupational Employment tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query BLS Wages — OEWS Occupational Employment to resolve tickets, look up records, and update statuses without human intervention

BLS Wages — OEWS Occupational Employment MCP Tools for OpenAI Agents SDK (1)

These 1 tools become available when you connect BLS Wages — OEWS Occupational Employment to OpenAI Agents SDK via MCP:

query_bls

Use this instead of specific endpoints if you intimately know the underlying numerical code. Up to 50 concurrent lookbacks allowed. Generic BLS v2 api timeseries query. Requires explicit BLS Series IDs

Example Prompts for BLS Wages — OEWS Occupational Employment in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with BLS Wages — OEWS Occupational Employment immediately.

"What is the median salary for Software Developers in Texas versus California?"

"Tell me the hourly wage differences for Registered Nurses nationally."

"Compare top 90th percentile to bottom 10th for Accountants."

Troubleshooting BLS Wages — OEWS Occupational Employment MCP Server with OpenAI Agents SDK

Common issues when connecting BLS Wages — OEWS Occupational Employment to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

BLS Wages — OEWS Occupational Employment + OpenAI Agents SDK FAQ

Common questions about integrating BLS Wages — OEWS Occupational Employment MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.