How do I get an EIA API Key?

You can register for a free API Key at the [**EIA Open Data portal**](https://www.eia.gov/opendata/register.php). Once registered, the key will be sent to your email address.

Is the data real-time or historical?

EIA provides both current energy statistics (updated daily or weekly) and extensive historical time-series data dating back several decades.

Does the integration cover global energy data?

This integration focuses on official U.S. domestic energy statistics as reported by the U.S. Energy Information Administration (EIA). Some international import/export data is included where relevant to the U.S. market.

U.S. EIA Energy Data MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: U.S. EIA Energy Data
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect U.S. EIA Energy Data through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to U.S. EIA Energy Data "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in U.S. EIA Energy Data?"
    )
    print(result.data)

asyncio.run(main())

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About U.S. EIA Energy Data MCP Server

Integrate the U.S. Energy Information Administration (EIA), the official source for U.S. energy statistics and analysis, directly into your AI workflow. Access real-time and historical data on electricity generation, petroleum and gasoline prices, natural gas production, coal distribution, and renewable energy consumption using natural language.

Pydantic AI validates every U.S. EIA Energy Data tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Energy Market Oversight — List and retrieve detailed statistics for various energy sources including petroleum, natural gas, and coal.
Electricity Intelligence — Monitor retail sales and electricity generation data across U.S. regions and states.
Renewable Tracking — Access the latest statistics on wind, solar, and hydro energy contributions to the U.S. energy grid.
Energy Data Auditing — Retrieve high-level summaries of energy production trends and regional price variations instantly.

The U.S. EIA Energy Data MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 U.S. EIA Energy Data to Pydantic AI via MCP

Follow these steps to integrate the U.S. EIA Energy Data MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from U.S. EIA Energy Data with type-safe schemas

Why Use Pydantic AI with the U.S. EIA Energy Data MCP Server

Pydantic AI provides unique advantages when paired with U.S. EIA Energy Data through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your U.S. EIA Energy Data integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your U.S. EIA Energy Data connection logic from agent behavior for testable, maintainable code

U.S. EIA Energy Data + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the U.S. EIA Energy Data MCP Server delivers measurable value.

Type-safe data pipelines: query U.S. EIA Energy Data with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple U.S. EIA Energy Data tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query U.S. EIA Energy Data and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock U.S. EIA Energy Data responses and write comprehensive agent tests

U.S. EIA Energy Data MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect U.S. EIA Energy Data to Pydantic AI via MCP:

get_eia_api_metadata

Retrieve metadata for the current EIA API connection

get_energy_series_data

Get time-series data for a specific energy metric

list_coal_production

List U.S. coal production and distribution data

list_electricity_generation

List U.S. electricity generation and retail sales data

list_energy_categories

List U.S. EIA energy data categories

list_natural_gas_production

List U.S. natural gas production and supply data

list_petroleum_prices

List U.S. petroleum and gasoline price data

list_regional_fuel_prices

Identify fuel price variations across different U.S. regions (mock logic)

list_renewable_energy_stats

List U.S. renewable energy generation and consumption data

quick_us_energy_audit

S. energy health. Retrieve a high-level summary of current U.S. energy production across all sources

Example Prompts for U.S. EIA Energy Data in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with U.S. EIA Energy Data immediately.

"List current petroleum prices in the U.S."

"Show me electricity generation stats for renewable energy."

"Check the latest natural gas production levels."

Troubleshooting U.S. EIA Energy Data MCP Server with Pydantic AI

Common issues when connecting U.S. EIA Energy Data to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

U.S. EIA Energy Data + Pydantic AI FAQ

Common questions about integrating U.S. EIA Energy Data MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your U.S. EIA Energy Data MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.