EIA Energy Outlook MCP. Model U.S. energy supply or global market trends.
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EIA Energy Outlook — Forecasts & Projections delivers official U.S. energy market data and global resource trends. Use the get_short_term_outlook tool for 18-month U.S.
price and supply forecasts. Get the annual view with get_annual_outlook for 30-year U.S. projections. Need global context? The get_international_outlook tool covers worldwide projections by region and fuel.
Finally, use get_international_data to pull country-specific consumption, production, and emissions.
What your AI agents can do
Get annual outlook
Gets 30-year U.S. energy projections for production, consumption, prices, and emissions, including side cases.
Get international data
Retrieves energy production, consumption, and emissions metrics for specific countries globally.
Get international outlook
Covers global energy projections by region and fuel type, providing a worldwide view.
Uses the get_annual_outlook tool to fetch long-range data on U.S. energy production, consumption, prices, and emissions, including reference and side cases.
Uses the get_short_term_outlook tool to retrieve the monthly U.S. energy price and supply projections (STEO) for the next 18 months.
Uses the get_international_outlook tool to pull world energy projections, allowing you to segment data by specific regions and fuel types.
Uses the get_international_data tool to get detailed energy production, consumption, and emissions data for individual countries.
Accesses the historical data range (1974 to 2027) available via the get_short_term_outlook tool for trend analysis.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
019d758dget annual outlook
Gets 30-year U.S. energy projections for production, consumption, prices, and emissions, including side cases.
019d758dget international data
Retrieves energy production, consumption, and emissions metrics for specific countries globally.
019d758dget international outlook
Covers global energy projections by region and fuel type, providing a worldwide view.
019d758dget short term outlook
Gets 18-month U.S. energy price and supply projections, updated monthly.
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What you can do with this MCP connector
EIA Energy Outlook — Forecasts & Projections gives you the official word on U.S. energy markets and global resource trends. You'll use this to model everything from short-term price swings to multi-decade global shifts.
To check out U.S. price and supply forecasts, use get_short_term_outlook. This tool gives you the monthly U.S. energy price and supply projections (STEO) for the next 18 months, and you can even pull historical data from 1974 to 2027 for trend analysis.
If you need a long-range view of the U.S., run get_annual_outlook. It fetches 30-year U.S. energy projections covering production, consumption, prices, and emissions, and it even includes side cases for deeper modeling.
For global context, you'll use get_international_outlook. This tool covers worldwide energy projections, letting you map trends by specific regions and fuel types.
To compare energy metrics country by country, use get_international_data. This tool pulls detailed energy production, consumption, and emissions data for any specific nation.
When you need to model global energy trends by region and fuel, you'll use get_international_outlook; for detailed country comparisons, you'll use get_international_data.
How EIA Energy Outlook MCP Works
- 1 Tell your agent which scope you need: 30-year U.S. (annual), 18-month U.S. (short-term), global (international outlook), or specific country data.
- 2 The agent calls the appropriate tool (e.g., get_annual_outlook) and specifies necessary filters like year, region, or country name.
- 3 You get structured data: either a projected time series, a comparative table, or a set of country metrics, depending on the tool used.
The bottom line is that you get official, structured energy data from the EIA, allowing you to model complex market scenarios without manual data gathering.
Who Is EIA Energy Outlook MCP For?
Energy strategists, investment analysts, and climate modelers use this. They need the official U.S. government view on energy markets—not just what's happening now, but what's coming decades from now. It’s for people who build models and need reliable, structured data inputs.
Models long-term supply-demand scenarios, comparing the 30-year trajectory of U.S. energy consumption against global trends.
Compares short-term commodity price volatility (using get_short_term_outlook) against global economic indicators to advise clients.
Pulls international data (get_international_data) to assess a country's emissions profile and energy dependency for policy planning.
What Changes When You Connect
- Model 30-year U.S. energy transitions using
get_annual_outlook. You get projections for electricity generation and fossil fuel use, allowing you to stress-test future national energy mixes. - Track short-term price volatility with
get_short_term_outlook. This tool provides monthly 18-month U.S. price and supply forecasts, helping you gauge immediate market risks. - Compare national energy footprints using
get_international_data. You can pull specific metrics—like total consumption or coal share—for any country, letting you benchmark international peers. - Visualize global shifts with
get_international_outlook. This tool maps worldwide energy projections by region and fuel, giving you a single source for international comparison. - Avoid data silos by letting your agent combine tool calls. You don't have to manually cross-reference annual, short-term, and international data points; the agent coordinates the calls for you.
Real-World Use Cases
Assessing long-term decarbonization risk
A climate modeler needs to know the U.S. energy mix in 2050. They ask the agent to run get_annual_outlook. The agent processes the 30-year projections, showing the shift in renewables and the decline of coal. This lets the modeler build policy recommendations based on official EIA data.
Comparing oil price movements in Q2 2025
An investment analyst needs a quick view of commodity prices. They ask the agent to run get_short_term_outlook. The agent returns the 18-month price forecast, highlighting the projected decline in oil prices and providing the average for the year.
Benchmarking China's energy use vs. India's
A market researcher needs a direct comparison of consumption. They ask the agent to use get_international_data to pull specific metrics for both countries. The agent structures the comparison, allowing the researcher to quantify consumption differences quickly.
Forecasting global gas demand by region
A global energy consultant needs to map future gas trends. They ask the agent to use get_international_outlook. The agent retrieves the world energy projections, allowing the consultant to see how gas demand is shifting across different continents and fuel sources.
The Tradeoffs
Treating it like a simple search query
Asking the agent, 'What are energy forecasts?' and expecting a single, all-encompassing answer. The tool is too complex for a single keyword query.
→
You must specify the scope. If you need 30-year U.S. data, ask for get_annual_outlook. If you need global data, ask for get_international_outlook. Specificity matters.
Ignoring the time horizon difference
Confusing the 30-year projections from get_annual_outlook with the 18-month view from get_short_term_outlook. These data sets measure different things.
→ Determine if you need a long-term strategic view (AEO, 30 years) or an immediate tactical view (STEO, 18 months). Use the correct tool for the time scale you are modeling.
Mixing up country-specific vs. global data
Trying to use get_international_data to get a global average, or using get_international_outlook to get data for a single country.
→
Use get_international_data when you need country-by-country metrics. Use get_international_outlook when you need a high-level breakdown of global trends by region or fuel.
When It Fits, When It Doesn't
Use this MCP Server if your job requires modeling complex, multi-faceted energy market scenarios based on official U.S. government data. This includes predicting commodity prices (get_short_term_outlook), planning decades-out energy transitions (get_annual_outlook), or comparing global energy usage (get_international_data/get_international_outlook).
Don't use this if you just need a simple, single-point data lookup, like checking today's spot price. For that, a specialized commodity API might be better. Also, don't use it if your primary need is proprietary or non-EIA data, as the source is strictly official government reporting. If you need to calculate a single metric based on multiple, disparate inputs, you'll need an external data processing tool, but this server provides the raw inputs.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EIA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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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 server provides 4 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Sifting through decades of energy reports shouldn't require a PhD in economics.
Today, analyzing energy trends means logging into the EIA website. You navigate between different outlooks—the 30-year annual reports, the monthly short-term price updates, the global data tables. You spend hours downloading spreadsheets, manually cross-referencing data points, and figuring out if the chart you're looking at is for the U.S. or for a specific country.
With this MCP Server, your agent handles the complexity. Instead of downloading multiple files, you ask for the 30-year U.S. energy mix, and the agent uses `get_annual_outlook` to give you the structured data you need. You get the insight immediately, without the manual data plumbing.
get_international_data: Get specific country energy metrics instantly
Before, comparing China's consumption to India's meant pulling two separate reports, finding the 'Total (Quad BTU)' metric on both, and manually comparing the numbers in a spreadsheet. This process is slow and prone to copy-paste errors.
Now, the agent uses `get_international_data`. You ask for the comparison, and the agent returns a structured table with the exact metrics you need. It’s a direct, comparative output, saving you the spreadsheet assembly time.
Common Questions About EIA Energy Outlook MCP
What is the difference between get_international_outlook and get_international_data? +
The difference is scope: get_international_outlook provides high-level world projections, breaking down global trends by region and fuel. get_international_data pulls specific, measurable metrics (production, consumption, emissions) for named countries.
How far back does get_short_term_outlook go? +
The get_short_term_outlook tool covers data from 1974 to 2027. This historical range lets you analyze decades of price and supply changes for the U.S. energy market.
Can I use get_annual_outlook to compare different countries? +
No, the get_annual_outlook tool is specifically for U.S. energy projections (30 years). Use get_international_data or get_international_outlook to compare multiple countries or regions.
What kind of data does get_international_data return? +
It returns country-level energy data, including metrics for production, consumption, trade, and emissions. This is useful for detailed national comparisons.
When should I use get_annual_outlook versus get_short_term_outlook? +
Use get_annual_outlook for long-range planning (30 years). Use get_short_term_outlook for near-term analysis (18 months). The AEO covers major U.S. energy mix shifts, while the STEO focuses on monthly price and supply changes.
Does get_international_data handle historical data for multiple countries? +
Yes, get_international_data provides country-level data. You specify the countries and time frames, allowing you to build comparisons of production, consumption, and emissions.
What kind of data is available through get_international_outlook? +
get_international_outlook covers global energy projections. It gives you breakdowns of production, consumption, and emissions by specific regions and fuel types worldwide.
Are there any restrictions or limitations when running get_annual_outlook? +
get_annual_outlook uses the NEMS model and includes reference and side cases. You must specify the projection scope (e.g., U.S. total energy, specific fuel) to get accurate results.
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.
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