**SEDS (State Energy Data System)** is EIA's comprehensive database of state-level energy statistics covering all 50 states + DC from 1960 to present. It includes production, consumption, prices, and expenditure data for ALL energy sources (petroleum, natural gas, coal, electricity, nuclear, renewables) broken down by sector.

EIA State Energy — U.S. Regional Energy Data MCP Server for LlamaIndex 3 tools — connect in under 2 minutes

Name: EIA State Energy — U.S. Regional Energy Data
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 3 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 EIA State Energy — U.S. Regional Energy Data. "
            "You have 3 tools available."
        ),
    )

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

asyncio.run(main())

EIA State Energy — U.S. Regional Energy Data

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 State Energy — U.S. Regional Energy Data MCP Server

The deepest state-level energy dataset in the world, covering 1960 to present.

LlamaIndex agents combine EIA State Energy — U.S. Regional Energy Data tool responses with indexed documents for comprehensive, grounded answers. Connect 3 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

SEDS — Production, consumption, price, and expenditure data for ALL energy sources by state and sector. The definitive state-level energy database (1960→2024)
Total Energy (MER) — The Monthly Energy Review: comprehensive overview integrating all sources
Nuclear Outages — Current status of all U.S. nuclear reactors

The EIA State Energy — U.S. Regional Energy Data MCP Server exposes 3 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 State Energy — U.S. Regional Energy Data to LlamaIndex via MCP

Follow these steps to integrate the EIA State Energy — U.S. Regional 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 3 tools from EIA State Energy — U.S. Regional Energy Data

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

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

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

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

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

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

EIA State Energy — U.S. Regional Energy Data + LlamaIndex Use Cases

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

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

Data enrichment: query EIA State Energy — U.S. Regional 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 EIA State Energy — U.S. Regional Energy Data for fresh data

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

EIA State Energy — U.S. Regional Energy Data MCP Tools for LlamaIndex (3)

These 3 tools become available when you connect EIA State Energy — U.S. Regional Energy Data to LlamaIndex via MCP:

get_nuclear_outages

S. nuclear reactors. Get nuclear power plant outage data

get_state_energy_data

Data from 1960 to present. The definitive source for state-level energy analysis. Get comprehensive state-level energy data (SEDS): production, consumption, prices, expenditures

get_total_energy

Includes total production, consumption, stocks, trade, prices, and CO2 emissions for petroleum, natural gas, coal, electricity, nuclear, and renewables. Get comprehensive U.S. total energy overview (Monthly Energy Review)

Example Prompts for EIA State Energy — U.S. Regional Energy Data in LlamaIndex

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

"What is the total energy expenditure for Texas?"

"What is the U.S. total energy production breakdown?"

"Compare energy consumption between California and New York"

Troubleshooting EIA State Energy — U.S. Regional Energy Data MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

EIA State Energy — U.S. Regional Energy Data + LlamaIndex FAQ

Common questions about integrating EIA State Energy — U.S. Regional Energy Data 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 State Energy — U.S. Regional Energy Data tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.