How to Use the BLS Labor Force — National Unemployment & CPS MCP in OpenAI Agents SDK

Q: How do I connect the BLS Labor Force — National Unemployment & CPS tool to OpenAI Agents SDK?

Start by installing openai-agents. Then, initialize the MCP Server using the streamable HTTP parameters with your Vinkius endpoint URL. Pass it directly to your Agent constructor to let the model auto-discover the tools.

Q: Can OpenAI Agents SDK handle parallel requests using the BLS Labor Force — National Unemployment & CPS server?

Yes, the querybls tool supports up to 50 concurrent lookbacks. The SDK handles these async calls cleanly, allowing your agent to gather massive chunks of labor market data simultaneously.

Q: Does the BLS Labor Force — National Unemployment & CPS MCP Server support custom series IDs in OpenAI Agents SDK?

Yes, you can query any valid BLS series code using querybls. Just feed the explicit IDs to your agent, and the SDK will pass them to the MCP Server for processing.

Q: What is the best way to cache tool definitions in this setup?

You should set cacheToolsList=True in your configuration. This prevents the SDK from refetching the tool definitions on every single agent interaction, saving execution time.

Feed live US employment metrics straight to your OpenAI Agents SDK pipelines with zero manual parsing.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect BLS Labor Force — National Unemployment & CPS MCP to OpenAI Agents SDK

Create your Vinkius account to connect BLS Labor Force — National Unemployment & CPS 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.

GDPR Free for Subscribers

Setup BLS Labor Force — National Unemployment & CPS with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Pull raw CPS metrics with OpenAI Agents SDK

Your agent can grab the exact national unemployment rate instantly. By calling `get_unemployment_rate`, the model extracts the LNS14000000 series data directly from the Current Population Survey without you writing custom API wrappers. The OpenAI Agents SDK maps this tool dynamically, letting your agent evaluate workforce health and labor market tightness on the fly. You get clean, structured numbers ready for downstream decision-making.

Bulk query BLS timeseries data

When you need more than just the headline numbers, use `query_bls` to run custom queries against the BLS v2 API. This tool lets your agent pull up to 50 concurrent lookbacks using explicit series IDs. The system handles the raw numerical codes and returns clean historical series. Your agent can then compare historical labor force participation rates or demographic breakdowns without hitches.

Secure execution on Vinkius

Running this MCP Server on Vinkius means your agent operates inside a secure, sandboxed environment. The OpenAI dashboard tracks every single tool call, giving you full visibility into what data your agent pulls. You do not have to manage complex authentication or handle raw API keys inside your code. A single endpoint token connects your agent to the live Bureau of Labor Statistics data repository.

Setup guide

Set up BLS Labor Force — National Unemployment & CPS 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 BLS Labor Force — National Unemployment & CPS tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives BLS Labor Force — National Unemployment & CPS tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate BLS Labor Force — National Unemployment & CPS 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="BLS Labor Force — National Unemployment & CPS Agent",
            instructions="You have access to BLS Labor Force — National Unemployment & CPS tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 Bureau of Labor Statistics. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect BLS Labor Force — National Unemployment & CPS now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BLS Labor Force — National Unemployment & CPS MCP in OpenAI Agents SDK

Start by installing `openai-agents`. Then, initialize the MCP Server using the streamable HTTP parameters with your Vinkius endpoint URL. Pass it directly to your Agent constructor to let the model auto-discover the tools.

Yes, the `query_bls` tool supports up to 50 concurrent lookbacks. The SDK handles these async calls cleanly, allowing your agent to gather massive chunks of labor market data simultaneously.

Yes, you can query any valid BLS series code using `query_bls`. Just feed the explicit IDs to your agent, and the SDK will pass them to the MCP Server for processing.

You should set `cacheToolsList=True` in your configuration. This prevents the SDK from refetching the tool definitions on every single agent interaction, saving execution time.

All queries for CPS and unemployment figures run inside this MCP integration. Vinkius does not store the specific series IDs or parameters your agent sends to the Bureau of Labor Statistics. Your API traffic is encrypted in transit and discarded immediately after the tool execution completes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript