**SEDS (State Energy Data System)** is EIA's comprehensive database of state-level energy statistics covering all 50 states + DC from 1960 to present. It includes production, consumption, prices, and expenditure data for ALL energy sources (petroleum, natural gas, coal, electricity, nuclear, renewables) broken down by sector.

EIA State Energy — U.S. Regional Energy Data MCP Server for Pydantic AI 3 tools — connect in under 2 minutes

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

ai.pydantic.dev/mcp

Built by Vinkius GDPR 3 Tools SDK

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

Get MCP Server for AI Agents

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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 EIA State Energy — U.S. Regional Energy Data "
            "(3 tools)."
        ),
    )

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

asyncio.run(main())

EIA State Energy — U.S. Regional Energy Data

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High SecurityEnterprise-grade

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About EIA State Energy — U.S. Regional Energy Data MCP Server

The deepest state-level energy dataset in the world, covering 1960 to present.

Pydantic AI validates every EIA State Energy — U.S. Regional Energy Data tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through 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

SEDS — Production, consumption, price, and expenditure data for ALL energy sources by state and sector. The definitive state-level energy database (1960→2024)
Total Energy (MER) — The Monthly Energy Review: comprehensive overview integrating all sources
Nuclear Outages — Current status of all U.S. nuclear reactors

The EIA State Energy — U.S. Regional Energy Data MCP Server exposes 3 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 EIA State Energy — U.S. Regional Energy Data to Pydantic AI via MCP

Follow these steps to integrate the EIA State Energy — U.S. Regional 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 3 tools from EIA State Energy — U.S. Regional Energy Data with type-safe schemas

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

Pydantic AI provides unique advantages when paired with EIA State Energy — U.S. Regional 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 EIA State Energy — U.S. Regional 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 EIA State Energy — U.S. Regional Energy Data connection logic from agent behavior for testable, maintainable code

EIA State Energy — U.S. Regional Energy Data + Pydantic AI Use Cases

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

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

API orchestration: chain multiple EIA State Energy — U.S. Regional 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 EIA State Energy — U.S. Regional Energy Data and output structured, schema-compliant notifications

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

EIA State Energy — U.S. Regional Energy Data MCP Tools for Pydantic AI (3)

These 3 tools become available when you connect EIA State Energy — U.S. Regional Energy Data to Pydantic AI via MCP:

get_nuclear_outages

S. nuclear reactors. Get nuclear power plant outage data

get_state_energy_data

Data from 1960 to present. The definitive source for state-level energy analysis. Get comprehensive state-level energy data (SEDS): production, consumption, prices, expenditures

get_total_energy

Includes total production, consumption, stocks, trade, prices, and CO2 emissions for petroleum, natural gas, coal, electricity, nuclear, and renewables. Get comprehensive U.S. total energy overview (Monthly Energy Review)

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

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

"What is the total energy expenditure for Texas?"

"What is the U.S. total energy production breakdown?"

"Compare energy consumption between California and New York"

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

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

EIA State Energy — U.S. Regional Energy Data + Pydantic AI FAQ

Common questions about integrating EIA State Energy — U.S. Regional 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 EIA State Energy — U.S. Regional Energy Data MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.