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How to Use the Bureau of Labor Statistics Full — The Mega Server MCP in OpenAI Agents SDK

Pull raw government economic data directly into your OpenAI Agents SDK production pipeline.

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OpenAI Agents SDK

Connect Bureau of Labor Statistics Full — The Mega Server MCP to OpenAI Agents SDK

Create your Vinkius account to connect Bureau of Labor Statistics Full — The Mega Server 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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Direct BLS Data Access in OpenAI Agents SDK

Your agent connects to the `query_bls` tool to grab specific economic figures from the Bureau of Labor Statistics Full — The Mega Server. You get the exact series IDs you need without manually scraping public sites. This setup works by passing the server instance into your agent constructor. The SDK handles the heavy lifting, letting your agent run complex lookbacks against the BLS database.

High-Volume Economic Lookups

You can run up to 50 concurrent requests using the `query_bls` function. It keeps your agent moving fast when you need to compare multiple labor datasets simultaneously. Since this MCP Server runs via HTTP, you wrap the connection in an async context manager. It keeps your memory footprint low while the agent processes the incoming JSON payloads.

Production Safety for Labor Data

Use the OpenAI Agents SDK guardrails to monitor what your agent does with the Bureau of Labor Statistics Full — The Mega Server output. It prevents the agent from passing bad parameters to the `query_bls` tool. Tracing happens automatically in your dashboard. You see every call your agent makes to the server, ensuring your production deployment stays within your defined safety constraints.

Setup guide

Set up Bureau of Labor Statistics Full — The Mega Server 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. 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. 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 Bureau of Labor Statistics Full — The Mega Server tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Bureau of Labor Statistics Full — The Mega Server tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Bureau of Labor Statistics Full — The Mega Server 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="Bureau of Labor Statistics Full — The Mega Server Agent",
            instructions="You have access to Bureau of Labor Statistics Full — The Mega Server tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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.

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Common questions about Bureau of Labor Statistics Full — The Mega Server MCP in OpenAI Agents SDK

Install the necessary packages and instantiate the HTTP server class. Pass that object into your agent's list of servers to let it discover the tools immediately.
Yes, it uses an async context manager for connections. This ensures your agent stays responsive while waiting for the BLS API to return your requested time series data.
You should set cacheToolsList to True. This speeds up your agent's startup time by preventing repeated discovery calls to the server.
The server manages the connection lifecycle. Your agent will wait for the response based on the timeout settings you configure in your SDK environment.
The Bureau of Labor Statistics Full — The Mega Server only touches public government data. We encrypt the transit between your agent and our sandbox to prevent any interception of your queries.

Start using the Bureau of Labor Statistics Full — The Mega Server MCP today

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