Supercharge your AI with EIA State Energy. Model regional grid risk over 65 years.
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EIA State Energy — U.S. Regional Energy Data accesses state-level energy facts spanning 65 years. Get production, consumption, prices, and expenditures for every energy source in any state or sector.
It also provides a total overview of U.S. energy sources and tracks current nuclear reactor outages.
What your AI can do
Get state energy data
Accesses comprehensive state-level data covering production, consumption, prices, and expenditures from 1960 to present.
Get total energy
Provides a complete US energy overview, including total production, consumption, and CO2 emissions for major sources like oil, gas, and coal.
Get nuclear outages
Retrieves the current status of all U.S. nuclear power plant outages.
Compare historical or current spending on electricity, fuel, and other sources between different states.
Calculate the breakdown of US power generation, tracking inputs from natural gas through renewables across time periods.
Check the current operational status and list planned outages for all U.S. nuclear reactors.
Break down how different sectors, like transportation or industry, consume energy within a specific state over time.
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EIA State Energy — U.S. Regional Energy Data (3 Tools)
These tools let you access three distinct but related datasets: state energy history, national energy totals, and current nuclear outage status.
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Start using EIA State Energy — U.S. Regional Energy Data on VinkiusGet State Energy Data
Accesses comprehensive state-level data covering production, consumption, prices, and expenditures from 1960 to present.
Get Total Energy
Provides a complete US energy overview, including total production, consumption, and...
Get Nuclear Outages
Retrieves the current status of all U.S. nuclear power plant outages.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 3 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Manually compiling energy data across multiple years and states is a nightmare.
Today, to compare how different regions handled their energy costs over the last twenty years, you're stuck clicking through dozens of government reports. You copy cell after cell, jumping between state-specific websites and national databases just to build one comparison chart. It’s slow, tedious, and prone to data errors.
With this MCP, your agent does that work for you. Instead of spending hours on the web, you ask for a direct comparison—say, industrial expenditures in three different states across two decades. You get a clean, structured answer instantly.
Getting State Energy Data with `get_state_energy_data`
Before this tool, getting reliable state-level data required piecing together records for production, consumption, and prices separately. You'd have to manage multiple sheets, each focused on a single metric or time period.
Now, you get it all in one query. The system handles the complexity of tracking every source, sector, and year simultaneously, giving you that definitive 1960–2024 dataset.
What your AI can actually do with this
This MCP gives you the deepest look at US energy history available. You can pull historical records covering decades, analyzing how specific states used their energy—everything from oil consumption to solar production—by sector like manufacturing or residential living. It compiles data on everything: who's using what power, and for how much money across 65 years.
Beyond the historical deep dive, you can get a current snapshot of the entire US grid’s total energy flow, tracking sources like natural gas and coal against renewables. Plus, it keeps tabs on nuclear reactor outages right now. If your analysis requires correlating long-term trends with immediate operational risks, this is what you need.
All these data streams are organized and accessible through Vinkius, giving you a single point of access to massive public datasets.
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Here's how it actually works
The bottom line is you get historical and real-time energy metrics compiled into one place to facilitate complex comparisons.
First, you tell your agent exactly what comparison you need—for example, "Compare manufacturing electricity costs in Texas vs. New York in 2015."
Next, the MCP runs through the necessary data streams, pulling historical consumption metrics from state records and cross-referencing them with total national capacity data.
Finally, your agent presents a structured comparison, showing the specific numbers you asked for, whether it's a multi-decade trend or a single point of current outage status.
Who is this actually for?
Utility regulators, regional economic planners, and academic researchers who need to prove a point about infrastructure or policy. This MCP helps you answer questions that require looking at both decades of history and the grid's operational status today.
Determining if state pricing mechanisms are fair by comparing historical energy expenditures across different regions.
Modeling future infrastructure needs by correlating population growth rates with long-term projected energy consumption.
Calculating a state's carbon footprint or clean energy transition progress using historical production and emissions data.
What Changes When You Connect
Compare states directly: You can use get_state_energy_data to compare specific metrics, like per capita energy cost, between competing regions in a single query. It's perfect for policy debates.
Model the whole picture: Use get_total_energy to see how shifts in national sources (e.g., less coal, more gas) affect total US production and emissions figures.
Assess immediate risk: By combining get_nuclear_outages with state data, you can build a much clearer risk profile than just looking at historical averages alone.
Deep dive into history: The 1960 to present scope of get_state_energy_data means your research isn't limited by easily available datasets. You get the full picture.
Cross-validate data: You can cross-check a state’s consumption against national totals using both get_state_energy_data and get_total_energy, ensuring your model is grounded in multiple reliable sources.
See it in action
Investigating regional economic shifts
A researcher needs to know why State X's industrial energy consumption spiked after 2008. They use get_state_energy_data to track the sector-specific expenditure changes over time, isolating the variable they need to analyze.
Prepping for grid stress tests
A utility firm needs to simulate a major capacity loss. They run get_nuclear_outages to model immediate operational constraints and combine that data with get_total_energy to see the systemic impact on overall national supply.
Comparing state policy impacts
A regulator wants to compare two states' success in transitioning off fossil fuels. They use get_state_energy_data to pull renewable share data for both regions over the last decade, quantifying the policy effect.
Understanding national energy trends
An analyst needs a simple breakdown of how US total energy production has changed. They use get_total_energy to get the most current mix of natural gas, oil, and renewables for their executive report.
The honest tradeoffs
Comparing apples to oranges
Trying to determine a state's total cost by only using get_state_energy_data without validating against national trends.
Always cross-reference the data. Use get_state_energy_data for local specifics, but validate the scale and scope of those figures by comparing them to the full US picture provided by get_total_energy.
Ignoring current risk factors
Building a long-term economic model that assumes perfect grid uptime, ignoring potential immediate failures.
For any operational or short-term forecast, you must run get_nuclear_outages first. This adds the critical real-time constraint that historical data lacks.
Focusing only on consumption
Only pulling state usage numbers without looking at what's available or what's being produced.
Balance your view. Use get_state_energy_data for demand, but also use get_total_energy to understand the overall supply capacity and source mix.
When It Fits, When It Doesn't
Use this MCP if your work requires correlating historical trends (decades of state-level data) with current operational constraints (like outages or total national capacity). You're building a risk assessment, not just an economic report. If you only need to know 'What was the cost of electricity in 1985?' use get_state_energy_data. If you only care about today’s grid status, get_nuclear_outages is enough. But if you are building a predictive model that accounts for both long-term policy shifts AND immediate equipment failure, then integrating all three tools is non-negotiable.
Questions you might have
How do I use get_state_energy_data to compare two states? +
You simply ask your agent for a side-by-side comparison of metrics, such as total consumption or expenditures, between the two specific states. The tool handles the complex data retrieval and formatting.
Is get_total_energy current enough for my model? +
Yes, it provides a comprehensive overview of US total energy flow using recent national metrics like natural gas and renewables shares. It's designed to give you the up-to-date national context your state data needs.
What if I need outage information? Can get_nuclear_outages help? +
Absolutely. The get_nuclear_outages tool gives you the most current status of all US nuclear reactors, providing a critical real-time constraint to factor into any long-term model.
Can I check energy prices for multiple sectors with get_state_energy_data? +
Yes. The data covers production, consumption, and expenditures by sector (like commercial or residential), allowing you to track specific economic drivers within a state's energy profile.
What is the historical scope when I use get_state_energy_data? +
The data covers a massive span: 1960 through the present. This means you can track trends over six decades, which is critical for long-term academic or policy analysis.
When should I use get_total_energy instead of get_state_energy_data? +
Use get_total_energy when you need a national aggregate view. This tool provides the Monthly Energy Review (MER) overview, covering total US production and consumption across all sources, without needing to specify individual states.
How does the system handle missing data points with get_state_energy_data? +
The MCP is designed for robustness. If a specific state lacks recorded data for a particular year or metric you request, your agent will receive null values or an explicit error instead of failing outright.
Does get_nuclear_outages provide real-time status updates? +
It provides the current operational status reported by EIA. While highly up-to-date, remember that 'real-time' refers to the last data pull; always verify source timing for critical decisions.
What is SEDS? +
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.
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