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

Built by Vinkius GDPR 10 Tools Framework

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

Vinkius supports streamable HTTP and SSE.

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 U.S. EIA Energy Data. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
U.S. EIA Energy Data
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* 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 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.

LlamaIndex agents combine U.S. EIA Energy Data tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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

  • 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 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 U.S. EIA Energy Data to LlamaIndex via MCP

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

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 10 tools from U.S. EIA Energy Data

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

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

01

Data-first architecture: LlamaIndex agents combine U.S. EIA Energy Data tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain U.S. EIA Energy Data tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query U.S. EIA Energy Data, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what U.S. EIA Energy Data tools were called, what data was returned, and how it influenced the final answer

U.S. EIA Energy Data + LlamaIndex Use Cases

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

01

Hybrid search: combine U.S. EIA Energy Data real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query U.S. EIA Energy Data to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying U.S. EIA Energy Data for fresh data

04

Analytical workflows: chain U.S. EIA Energy Data queries with LlamaIndex's data connectors to build multi-source analytical reports

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

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

01

get_eia_api_metadata

Retrieve metadata for the current EIA API connection

02

get_energy_series_data

Get time-series data for a specific energy metric

03

list_coal_production

List U.S. coal production and distribution data

04

list_electricity_generation

List U.S. electricity generation and retail sales data

05

list_energy_categories

List U.S. EIA energy data categories

06

list_natural_gas_production

List U.S. natural gas production and supply data

07

list_petroleum_prices

List U.S. petroleum and gasoline price data

08

list_regional_fuel_prices

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

09

list_renewable_energy_stats

List U.S. renewable energy generation and consumption data

10

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 LlamaIndex

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

01

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

02

"Show me electricity generation stats for renewable energy."

03

"Check the latest natural gas production levels."

Troubleshooting U.S. EIA Energy Data MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

U.S. EIA Energy Data + LlamaIndex FAQ

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

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query U.S. EIA Energy Data tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect U.S. EIA Energy Data to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.