How to Use the EIA Electricity — Power Grid Intelligence MCP in OpenAI Agents SDK

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Connect EIA Electricity — Power Grid Intelligence MCP to OpenAI Agents SDK

Create your Vinkius account to connect EIA Electricity — Power Grid Intelligence 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 Electricity — Power Grid Intelligence with OpenAI Agents SDK

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Perplexity

Track hourly grid demand

The `get_grid_demand` tool pulls real-time hourly load data from balancing authorities across the U.S. Your OpenAI agent uses this to map out regional demand spikes before executing trading logic. Built-in guardrails validate the API response structure before passing it to downstream agents. If an agent tries to forecast peak load based on incomplete EIA-930 data, the framework catches the error and halts execution.

Map generator inventory

The `get_generator_inventory` tool exposes over 100,000 operable U.S. generators directly to your runtime environment. Agents filter this EIA-860 dataset by prime mover or fuel type to build regional capacity models. Handoffs let you route this raw inventory data to specialized pricing agents. One agent queries the physical assets, while another maps them against market conditions to recommend arbitrage opportunities.

Analyze fuel consumption

The `get_plant_generation` tool grabs net generation and heat rates for specific power plants. You feed this EIA-923 data into your agent to calculate thermodynamic efficiency across different regions. Combine that with `get_electricity_prices` to trace how fuel costs impact retail rates by state. Full tracing in the OpenAI dashboard shows exactly which MCP data points influenced the final recommendation.

Setup guide

Set up EIA Electricity — Power Grid Intelligence 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 Electricity — Power Grid Intelligence tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives EIA Electricity — Power Grid Intelligence 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 Electricity — Power Grid Intelligence 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 Electricity — Power Grid Intelligence Agent",
            instructions="You have access to EIA Electricity — Power Grid Intelligence 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 Electricity — Power Grid Intelligence MCP in OpenAI Agents SDK

Install the openai-agents package via pip. Create an MCPServerStreamableHttp object with your endpoint URL and pass it in the mcp_servers list to your Agent constructor.

Yes. Set cacheToolsList=True in your server parameters to prevent the agent from re-fetching the massive generator inventory schema on every single invocation.

The guardrails intercept the timeout or error immediately. Your agent stops running instead of making up fake grid demand figures to complete the task.

It does. Wrap the connection in an async with context manager so your agent can pull generation data and retail prices concurrently.

This integration only reads public U.S. utility survey records, specifically EIA-860, EIA-923, and EIA-930 reports. It never touches your proprietary trading algorithms or private customer billing records.

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