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

Q: How do I find historical data on U.S. EIA Energy Data using the OpenAI Agents SDK?

You use getenergyseriesdata. This tool lets your agent pull time-series data for specific metrics, giving you a complete view of how an energy source has changed over months or years.

Q: Which tools list U.S. EIA Energy Data categories available to the OpenAI Agents SDK?

The listenergycategories tool provides a full catalog of data categories your agent can access. This is helpful if you aren't sure what specific types of energy metrics are tracked by the EIA.

Q: Can I list coal production and electricity generation for U.S. EIA Energy Data using the OpenAI Agents SDK?

Yep, you can use listcoalproduction to get details on coal output, and then run listelectricitygeneration for sales data. Your agent treats these two calls as separate but complementary pieces of information.

Q: Does the OpenAI Agents SDK support regional fuel price tracking with U.S. EIA Energy Data?

Yes, the listregionalfuelprices tool handles that mock logic for you. It lets your agent identify how fuel prices vary across different U.S. geographic regions.

Integrate real U.S. EIA Energy Data into your production agent system using the OpenAI Agents SDK.

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

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

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Audit US Energy Health with the MCP Server

The `quick_us_energy_audit` tool gives you a high-level summary of current U.S. energy production across all sources. This lets your agent immediately assess overall energy stability without needing multiple API calls. Need to dig deeper? You can run targeted checks using `list_natural_gas_production` and `list_petroleum_prices`. It's perfect for agents that need a quick, verifiable status report.

Track Commodity Price Shifts via MCP Server

Use the `list_petroleum_prices` tool to get current U.S. gasoline and petroleum price data. Your agent can then compare this against regional variations found in `list_regional_fuel_prices`. This pair of tools lets you build sophisticated comparisons—for example, checking how a national average changes when considering specific state regions.

Get Time-Series Energy Metrics with OpenAI Agents SDK

The `get_energy_series_data` tool fetches historical time-series data for any specified energy metric. This is better than just getting a single snapshot because it shows trends over time. Your agent can use this to analyze metrics like electricity generation, pulling in complex datasets that require date ranges and specific units.

Setup guide

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

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives U.S. EIA 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 U.S. EIA 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="U.S. EIA Energy Data Agent",
            instructions="You have access to U.S. EIA 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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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by U.S. EIA Energy Data. 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 U.S. EIA Energy Data MCP in OpenAI Agents SDK

You use `get_energy_series_data`. This tool lets your agent pull time-series data for specific metrics, giving you a complete view of how an energy source has changed over months or years.

The `list_energy_categories` tool provides a full catalog of data categories your agent can access. This is helpful if you aren't sure what specific types of energy metrics are tracked by the EIA.

Yep, you can use `list_coal_production` to get details on coal output, and then run `list_electricity_generation` for sales data. Your agent treats these two calls as separate but complementary pieces of information.

Yes, the `list_regional_fuel_prices` tool handles that mock logic for you. It lets your agent identify how fuel prices vary across different U.S. geographic regions.

This MCP Server manages energy metrics, including time-series generation figures, coal production volumes, and current fuel price lists for various sources.

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