U.S. EIA Energy Data MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
Data-first architecture: LlamaIndex agents combine U.S. EIA Energy Data tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain U.S. EIA Energy Data tool calls with transformations, filters, and re-rankers in a typed pipeline
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
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.
Hybrid search: combine U.S. EIA Energy Data real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query U.S. EIA Energy Data 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 U.S. EIA Energy Data for fresh data
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:
get_eia_api_metadata
Retrieve metadata for the current EIA API connection
get_energy_series_data
Get time-series data for a specific energy metric
list_coal_production
List U.S. coal production and distribution data
list_electricity_generation
List U.S. electricity generation and retail sales data
list_energy_categories
List U.S. EIA energy data categories
list_natural_gas_production
List U.S. natural gas production and supply data
list_petroleum_prices
List U.S. petroleum and gasoline price data
list_regional_fuel_prices
Identify fuel price variations across different U.S. regions (mock logic)
list_renewable_energy_stats
List U.S. renewable energy generation and consumption data
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.
"List current petroleum prices in the U.S."
"Show me electricity generation stats for renewable energy."
"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.
BasicMCPClient not found
pip install llama-index-tools-mcpU.S. EIA Energy Data + LlamaIndex FAQ
Common questions about integrating U.S. EIA Energy Data MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect U.S. EIA Energy Data with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
