How far ahead does EIA forecast?

Three horizons: **STEO** covers 18 months ahead (updated monthly). **AEO** projects 30 years for the U.S. **IEO** projects 25+ years for the global market. Each uses different models: STEO for short-term, NEMS for AEO, WEPS for IEO.

EIA Energy Outlook — Forecasts & Projections MCP Server for Pydantic AI 4 tools — connect in under 2 minutes

Name: EIA Energy Outlook — Forecasts & Projections
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 4 Tools SDK

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

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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 Energy Outlook — Forecasts & Projections "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in EIA Energy Outlook — Forecasts & Projections?"
    )
    print(result.data)

asyncio.run(main())

EIA Energy Outlook — Forecasts & Projections

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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 Energy Outlook — Forecasts & Projections MCP Server

Forward-looking energy intelligence from the world's most respected energy agency.

Pydantic AI validates every EIA Energy Outlook — Forecasts & Projections tool response against typed schemas, catching data inconsistencies at build time. Connect 4 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

STEO — Short-Term Energy Outlook: 18-month price, production, and consumption projections (updated monthly)
AEO — Annual Energy Outlook: 30-year U.S. energy projections with reference/side cases
IEO — International Energy Outlook: world energy projections by region and fuel
International Data — Country-level production, consumption, trade, and emissions

The EIA Energy Outlook — Forecasts & Projections MCP Server exposes 4 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 Energy Outlook — Forecasts & Projections to Pydantic AI via MCP

Follow these steps to integrate the EIA Energy Outlook — Forecasts & Projections 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 4 tools from EIA Energy Outlook — Forecasts & Projections with type-safe schemas

Why Use Pydantic AI with the EIA Energy Outlook — Forecasts & Projections MCP Server

Pydantic AI provides unique advantages when paired with EIA Energy Outlook — Forecasts & Projections 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 Energy Outlook — Forecasts & Projections 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 Energy Outlook — Forecasts & Projections connection logic from agent behavior for testable, maintainable code

EIA Energy Outlook — Forecasts & Projections + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the EIA Energy Outlook — Forecasts & Projections MCP Server delivers measurable value.

Type-safe data pipelines: query EIA Energy Outlook — Forecasts & Projections with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple EIA Energy Outlook — Forecasts & Projections tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query EIA Energy Outlook — Forecasts & Projections and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock EIA Energy Outlook — Forecasts & Projections responses and write comprehensive agent tests

EIA Energy Outlook — Forecasts & Projections MCP Tools for Pydantic AI (4)

These 4 tools become available when you connect EIA Energy Outlook — Forecasts & Projections to Pydantic AI via MCP:

get_annual_outlook

S. energy production, consumption, prices, and emissions using the National Energy Modeling System (NEMS). Includes reference case and side cases. Get AEO: 30-year U.S. energy projections

get_international_data

Get country-level energy production, consumption, and emissions

get_international_outlook

Covers global production, consumption, and emissions by region and fuel. Get IEO: international energy projections

get_short_term_outlook

Published monthly by EIA. Data range: 1974 to 2027. Get STEO: 18-month U.S. energy price and supply projections

Example Prompts for EIA Energy Outlook — Forecasts & Projections in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with EIA Energy Outlook — Forecasts & Projections immediately.

"What does EIA forecast for oil prices next year?"

"How does EIA project U.S. energy mix in 2050?"

"Compare energy consumption between China and India"

Troubleshooting EIA Energy Outlook — Forecasts & Projections MCP Server with Pydantic AI

Common issues when connecting EIA Energy Outlook — Forecasts & Projections to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

EIA Energy Outlook — Forecasts & Projections + Pydantic AI FAQ

Common questions about integrating EIA Energy Outlook — Forecasts & Projections 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 Energy Outlook — Forecasts & Projections MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.