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 LlamaIndex 4 tools — connect in under 2 minutes

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

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 4 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add EIA Energy Outlook — Forecasts & Projections as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to EIA Energy Outlook — Forecasts & Projections. "
            "You have 4 tools available."
        ),
    )

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

asyncio.run(main())

EIA Energy Outlook — Forecasts & Projections

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About EIA Energy Outlook — Forecasts & Projections MCP Server

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

LlamaIndex agents combine EIA Energy Outlook — Forecasts & Projections tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the EIA Energy Outlook — Forecasts & Projections MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

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

LlamaIndex provides unique advantages when paired with EIA Energy Outlook — Forecasts & Projections through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine EIA Energy Outlook — Forecasts & Projections tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain EIA Energy Outlook — Forecasts & Projections tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query EIA Energy Outlook — Forecasts & Projections, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what EIA Energy Outlook — Forecasts & Projections tools were called, what data was returned, and how it influenced the final answer

EIA Energy Outlook — Forecasts & Projections + LlamaIndex Use Cases

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

Hybrid search: combine EIA Energy Outlook — Forecasts & Projections real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query EIA Energy Outlook — Forecasts & Projections to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying EIA Energy Outlook — Forecasts & Projections for fresh data

Analytical workflows: chain EIA Energy Outlook — Forecasts & Projections queries with LlamaIndex's data connectors to build multi-source analytical reports

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

These 4 tools become available when you connect EIA Energy Outlook — Forecasts & Projections to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

EIA Energy Outlook — Forecasts & Projections + LlamaIndex FAQ

Common questions about integrating EIA Energy Outlook — Forecasts & Projections MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query EIA Energy Outlook — Forecasts & Projections tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.