How do I find my BLS Registration Key?

Register for an account at the [**BLS developer portal**](https://data.bls.gov/registrationEngine/), and you will receive your Registration Key via email. Copy and paste it below.

A series ID is a unique code identifying a specific statistical dataset, such as 'CUUR0000SA0' for the Consumer Price Index.

Can I query multiple series at once?

Yes. The `get_bls_timeseries_data` tool accepts an array of series IDs to retrieve metadata for multiple datasets in a single request.

BLS Public Data API MCP Server for OpenAI Agents SDK 2 tools — connect in under 2 minutes

Name: BLS Public Data API
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 2 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect BLS Public Data API 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

ASK AI ABOUT THIS MCP SERVER

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 Public Data API Assistant",
            instructions=(
                "You help users interact with BLS Public Data API. "
                "You have access to 2 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from BLS Public Data API"
        )
        print(result.final_output)

asyncio.run(main())

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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 Public Data API MCP Server

Empower your AI agent to orchestrate your entire economic research and labor auditing workflow with the BLS Public Data API, the authoritative source for United States Bureau of Labor Statistics data. By connecting the BLS API to your agent, you transform complex macroeconomic searches into a natural conversation. Your agent can instantly retrieve historical time series data, audit employment trends, and query specific series IDs without you ever touching a government portal. Whether you are conducting market research or managing regional economic constraints, your agent acts as a real-time data analyst, ensuring your intelligence is always verified and precise.

The OpenAI Agents SDK auto-discovers all 2 tools from BLS Public Data API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries BLS Public Data API, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Series Auditing — Retrieve high-resolution time series data for thousands of BLS identifiers and maintain a clear view of economic changes.
Trend Oversight — Audit historical labor statistics to understand the longitudinal distribution of economic scale instantly.
Economic Discovery — Query specific series IDs like the Consumer Price Index (CPI) to identify relevant fiscal markers for your research.
Metadata Intelligence — Retrieve unique series identifiers and year-based metadata to assist in deep-dive data classification.
Operational Monitoring — Check API status to ensure your economic research workflow is always operational.

The BLS Public Data API MCP Server exposes 2 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 Public Data API to OpenAI Agents SDK via MCP

Follow these steps to integrate the BLS Public Data API 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 2 tools from BLS Public Data API

Why Use OpenAI Agents SDK with the BLS Public Data API MCP Server

OpenAI Agents SDK provides unique advantages when paired with BLS Public Data API 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 Public Data API + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the BLS Public Data API MCP Server delivers measurable value.

Automated workflows: build agents that query BLS Public Data API, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries BLS Public Data API, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through BLS Public Data API tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query BLS Public Data API to resolve tickets, look up records, and update statuses without human intervention

BLS Public Data API MCP Tools for OpenAI Agents SDK (2)

These 2 tools become available when you connect BLS Public Data API to OpenAI Agents SDK via MCP:

check_api_status

Check if the BLS Public Data service is operational

get_bls_timeseries_data

Provide series IDs as a comma-separated string (e.g., "CUUR0000SA0,LNS14000000"). Get historical data for specific BLS series IDs

Example Prompts for BLS Public Data API in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with BLS Public Data API immediately.

"Get Consumer Price Index (CPI) data for the last 5 years using BLS."

"Show employment statistics for series 'LNS14000000' (Unemployment Rate)."

"Compare data for series 'WPUFD4' and 'WPUFD491' from 2020 to 2023."

Troubleshooting BLS Public Data API MCP Server with OpenAI Agents SDK

Common issues when connecting BLS Public Data API 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 Public Data API + OpenAI Agents SDK FAQ

Common questions about integrating BLS Public Data API 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.