How to Use the BLS Prices — Consumer Price Index (CPI) & Inflation MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK handle complex BLS Prices — Consumer Price Index (CPI) & Inflation lookbacks?

Yes. The querybls tool supports up to 50 concurrent lookbacks. You just provide the specific series IDs and the agent handles the rest.

Get US inflation data directly into your OpenAI Agents SDK production pipelines.

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Connect BLS Prices — Consumer Price Index (CPI) & Inflation MCP to OpenAI Agents SDK

Create your Vinkius account to connect BLS Prices — Consumer Price Index (CPI) & Inflation 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 Prices — Consumer Price Index (CPI) & Inflation with OpenAI Agents SDK

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Track CPI-U data with OpenAI Agents SDK

Feed `get_cpi_inflation` into your agents to monitor macroeconomic shifts. Your code pulls the latest baseline numbers without manual scraping. This MCP Server handles the connection so your agents stay focused on analysis. You get clean CPI-U data straight into your agent's context window.

Run custom BLS queries in OpenAI Agents SDK

Use `query_bls` when you need specific series IDs for deeper research. Your agent can pull up to 50 concurrent lookbacks to compare cost of living metrics. This method gives your agent direct access to the BLS v2 API. You define the IDs and watch the agent process the output in real-time.

Automate agent decision-making with BLS data

Build guardrails that check inflation trends before your agent executes a trade or budget plan. Your agent uses these tools to react to price anomalies automatically. Everything stays inside your Python environment. You maintain full tracing through the OpenAI dashboard while the server manages the external API calls.

Setup guide

Set up BLS Prices — Consumer Price Index (CPI) & Inflation 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 Prices — Consumer Price Index (CPI) & Inflation tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives BLS Prices — Consumer Price Index (CPI) & Inflation 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 Prices — Consumer Price Index (CPI) & Inflation 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 Prices — Consumer Price Index (CPI) & Inflation Agent",
            instructions="You have access to BLS Prices — Consumer Price Index (CPI) & Inflation 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 Prices — Consumer Price Index (CPI) & Inflation MCP in OpenAI Agents SDK

Install the server and pass the endpoint to your agent constructor. The SDK discovers your tools automatically, letting you call them within your agent's logic.

Yes. The `query_bls` tool supports up to 50 concurrent lookbacks. You just provide the specific series IDs and the agent handles the rest.

Vinkius hosts the server in an ephemeral sandbox. No data is stored between sessions, and your endpoint token keeps the connection locked down.

No. The SDK uses auto-discovery to map the tools. Just set the cacheToolsList parameter to true for faster execution.

Your agent receives a standard error response. You should implement basic try-except blocks in your Python code to handle potential connection drops.

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