How to Use the EIA State Energy — U.S. Regional Energy Data MCP in OpenAI Agents SDK

Q: How do I connect the EIA State Energy — U.S. Regional Energy Data MCP Server to OpenAI Agents SDK?

Install the openai-agents package. Initialize MCPServerStreamableHttp with your endpoint URL and pass it in the mcpservers list to your Agent constructor.

Q: Can OpenAI Agents SDK cache the EIA State Energy — U.S. Regional Energy Data tools?

Yes. Set cacheToolsList=True when configuring the MCP connection. This stops the agent from re-fetching the tool definitions on every single run, cutting down latency.

Q: Does EIA State Energy — U.S. Regional Energy Data track emissions through OpenAI Agents SDK?

It does. The agent calls gettotalenergy to fetch CO2 emissions alongside petroleum, natural gas, and coal consumption figures.

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Connect EIA State Energy — U.S. Regional Energy Data MCP to OpenAI Agents SDK

Create your Vinkius account to connect EIA State Energy — U.S. Regional Energy Data 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 EIA State Energy — U.S. Regional Energy Data with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Query 65 years of state energy data

`get_state_energy_data` pulls state-level energy production, consumption, and price metrics dating back to 1960. You pass this tool to your agent, and it queries the SEDS database directly to compare state expenditures. Because OpenAI Agents SDK handles tool discovery automatically, your agent figures out exactly when to use this historical data. You get full visibility into the API calls through the OpenAI dashboard, making it easy to track how the agent structures its queries over time.

Track national energy totals safely

`get_total_energy` grabs U.S. total energy overviews, including CO2 emissions, stocks, and trade data across petroleum, coal, and renewables. Your agent uses this to build national-level summaries of energy consumption. The Monthly Energy Review dataset is massive. By wrapping this MCP Server in OpenAI's guardrails, you ensure the agent does not hallucinate national statistics. It just reads the raw arrays and formats them for your downstream reporting pipelines.

Monitor reactors with OpenAI Agents SDK

`get_nuclear_outages` checks the current operational capacity and outage status of U.S. nuclear plants. You can build a specialized agent that constantly monitors this feed for grid stability. If a reactor goes offline, the agent triggers a handoff to a secondary agent that cross-references the outage with natural gas prices in the same region. This MCP Server integration gives you real-time visibility into nuclear infrastructure.

Setup guide

Set up EIA State Energy — U.S. Regional Energy Data 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 EIA State Energy — U.S. Regional Energy Data tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives EIA State Energy — U.S. Regional Energy Data tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate EIA State Energy — U.S. Regional Energy Data 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="EIA State Energy — U.S. Regional Energy Data Agent",
            instructions="You have access to EIA State Energy — U.S. Regional Energy Data 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 EIA State Energy — U.S. Regional Energy Data MCP in OpenAI Agents SDK

Install the `openai-agents` package. Initialize `MCPServerStreamableHttp` with your endpoint URL and pass it in the `mcp_servers` list to your Agent constructor.

The server exposes data from 1960 to the present. Your agent can pull state-level production, consumption, and prices using the `get_state_energy_data` tool.

Yes. Set `cacheToolsList=True` when configuring the MCP connection. This stops the agent from re-fetching the tool definitions on every single run, cutting down latency.

It does. The agent calls `get_total_energy` to fetch CO2 emissions alongside petroleum, natural gas, and coal consumption figures.

Vinkius processes state-level expenditures and national CO2 emission requests ephemerally. The system runs the connection inside a zero-trust V8 Isolate sandbox, meaning your historical queries disappear the moment the connection closes.

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