Does EIA track real-time grid data?

Yes! The EIA-930 survey collects hourly data from all major U.S. balancing authorities. This includes demand, net generation, and interchange — updated daily with hourly granularity.

EIA Electricity — Power Grid Intelligence MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Name: EIA Electricity — Power Grid Intelligence
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect EIA Electricity — Power Grid Intelligence 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

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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 EIA Electricity — Power Grid Intelligence "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in EIA Electricity — Power Grid Intelligence?"
    )
    print(result.data)

asyncio.run(main())

EIA Electricity — Power Grid Intelligence

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

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 Electricity — Power Grid Intelligence MCP Server

Real-time and historical intelligence on the entire U.S. power grid.

Pydantic AI validates every EIA Electricity — Power Grid Intelligence tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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

Grid Demand — Hourly and daily demand by balancing authority (EIA-930)
Generation Mix — Coal, gas, nuclear, solar, wind, hydro generation by state
Retail Prices — Electricity prices (¢/kWh) by state and sector
Generator Inventory — Every operable generator: capacity, fuel, location (EIA-860)
Plant Operations — Individual plant generation and fuel consumption (EIA-923)
State Profiles — Comprehensive state-level electricity data

The EIA Electricity — Power Grid Intelligence MCP Server exposes 6 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 Electricity — Power Grid Intelligence to Pydantic AI via MCP

Follow these steps to integrate the EIA Electricity — Power Grid Intelligence 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 6 tools from EIA Electricity — Power Grid Intelligence with type-safe schemas

Why Use Pydantic AI with the EIA Electricity — Power Grid Intelligence MCP Server

Pydantic AI provides unique advantages when paired with EIA Electricity — Power Grid Intelligence 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 Electricity — Power Grid Intelligence 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 Electricity — Power Grid Intelligence connection logic from agent behavior for testable, maintainable code

EIA Electricity — Power Grid Intelligence + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the EIA Electricity — Power Grid Intelligence MCP Server delivers measurable value.

Type-safe data pipelines: query EIA Electricity — Power Grid Intelligence with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple EIA Electricity — Power Grid Intelligence tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query EIA Electricity — Power Grid Intelligence and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock EIA Electricity — Power Grid Intelligence responses and write comprehensive agent tests

EIA Electricity — Power Grid Intelligence MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect EIA Electricity — Power Grid Intelligence to Pydantic AI via MCP:

get_electricity_prices

Source: EIA-826, EIA-861. Get retail electricity prices by state and sector

get_generator_inventory

Over 100,000 generators. Source: EIA-860. Get inventory of every operable generator in the U.S

get_grid_demand

Covers all major U.S. grid operators. Source: EIA-930. Get real-time hourly/daily electric grid demand

get_plant_generation

Includes net generation (MWh), fuel consumption, and heat rates. Source: EIA-923. Get individual power plant operations by fuel and prime mover

get_power_generation

Source: EIA-923. Get electric power generation by state, sector, and fuel source

get_state_electricity_profiles

Get comprehensive state electricity profiles

Example Prompts for EIA Electricity — Power Grid Intelligence in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with EIA Electricity — Power Grid Intelligence immediately.

"What is the electricity price in California vs Texas?"

"What percentage of U.S. electricity comes from renewable sources?"

"How many solar generators are operating in Arizona?"

Troubleshooting EIA Electricity — Power Grid Intelligence MCP Server with Pydantic AI

Common issues when connecting EIA Electricity — Power Grid Intelligence to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

EIA Electricity — Power Grid Intelligence + Pydantic AI FAQ

Common questions about integrating EIA Electricity — Power Grid Intelligence 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 Electricity — Power Grid Intelligence MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.