How to Use the BLS Local — LAUS State & County Unemployment MCP in OpenAI Agents SDK

Q: Can I run parallel lookups using BLS Local — LAUS State & County Unemployment and OpenAI Agents SDK?

Yes, the querybls tool in this MCP Server supports up to 50 concurrent series ID requests in one execution block. Your agents can pull state, county, and metro data simultaneously.

Feed verified US county unemployment metrics directly to your OpenAI Agents SDK workflows with zero manual API mapping.

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Connect BLS Local — LAUS State & County Unemployment MCP to OpenAI Agents SDK

Create your Vinkius account to connect BLS Local — LAUS State & County Unemployment 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 BLS Local — LAUS State & County Unemployment with OpenAI Agents SDK

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Direct series lookups via OpenAI Agents SDK

The `query_bls` tool pulls raw timeseries data directly from the Local Area Unemployment Statistics database using precise series codes. Your Python agent executes these queries without needing a middleman API client or custom parsers. By loading this MCP Server into your agent array, you let the model fetch up to 50 concurrent county or state metrics in a single turn. It bypasses the usual rate-limit headaches of scraping public government tables manually.

Multi-agent handoffs with raw economic data

The `query_bls` tool allows your specialized research agents to pass validated data arrays to your reporting agents. An analyst agent pulls the LAUS figures, verifies the series identifiers, and hands the clean payload to a drafting agent. Because the OpenAI Agents SDK handles tracing natively, you can watch the entire data flow in your dashboard. You see exactly when this MCP server ran, what series IDs it requested, and how the downstream agent interpreted the numbers.

Guardrail validation for critical state metrics

The `query_bls` tool requires exact BLS series IDs to fetch historical unemployment rates. Your agent system validates these numerical codes before hitting the live database, keeping dirty inputs from breaking your execution loop. This setup ensures your production pipeline only requests real, structured LAUS datasets. If an agent tries to guess a county code, the SDK guardrails catch the error before wasting your API quota.

Setup guide

Set up BLS Local — LAUS State & County Unemployment 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 Local — LAUS State & County Unemployment tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives BLS Local — LAUS State & County Unemployment 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 Local — LAUS State & County Unemployment 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 Local — LAUS State & County Unemployment Agent",
            instructions="You have access to BLS Local — LAUS State & County Unemployment tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about BLS Local — LAUS State & County Unemployment MCP in OpenAI Agents SDK

Install the SDK and pass the streamable HTTP URL to your server manager. The SDK auto-discovers the tools so your agents can query county metrics immediately.

Yes, you need a BLS API key to run queries. You configure this secret on Vinkius, which securely injects it so your agents do not expose keys in client-side code.

Yes, the `query_bls` tool in this MCP Server supports up to 50 concurrent series ID requests in one execution block. Your agents can pull state, county, and metro data simultaneously.

The MCP Server returns a clear error message from the BLS API. Your agent reads this response and can try to correct the code or report the failure.

Vinkius runs the server in an isolated sandbox where your series IDs and timeseries data are processed in memory. No queries are stored or analyzed on our servers, keeping your proprietary research private.

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