Coal & Mining MCP. Track prices, reserves, and production volumes instantly.
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EIA Coal & Mining — Solid Fuels Intelligence provides deep data on U.S. coal production and the solid fuels market.
Get mine-level output, state/national totals, market prices by rank (bituminous, lignite, etc.), and coal quality metrics like heat and sulfur.
It also tracks international trade flows, recoverable reserves, and nuclear reactor outage events.
What your AI agents can do
Get coal prices
Gets coal market prices by rank, region, and mine type, including breakdowns for bituminous, subbituminous, lignite, and anthracite.
Get coal production
Gets total coal production data, broken down by state, mine type, and coal rank.
Get coal quality
Gets data on coal consumption and quality, including heat content, sulfur, and ash percentages.
Get coal market prices by rank, region, and mine type, including specific breakdowns for bituminous, subbituminous, lignite, and anthracite.
Get coal production totals broken down by state, mine type, and coal rank.
Get data on coal consumption and quality, including heat content, sulfur percentage, and ash percentage.
Get data on coal reserves, productive capacity, and available stocks.
Get details on coal imports and exports, specifying the country, quantity, and price.
Get specific coal production data for a single mine, including its name, company, county, and rank.
Ask AI about this MCP
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EIA Coal & Mining — Solid Fuels Intelligence: 6 Tools
Use these six tools to model the entire coal supply chain, from specific mine output to global market pricing.
019d758dget coal prices
Gets coal market prices by rank, region, and mine type, including breakdowns for bituminous, subbituminous, lignite, and anthracite.
019d758dget coal production
Gets total coal production data, broken down by state, mine type, and coal rank.
019d758dget coal quality
Gets data on coal consumption and quality, including heat content, sulfur, and ash percentages.
019d758dget coal reserves
Gets information on recoverable coal reserves, productive capacity, and available stocks.
019d758dget coal trade
Gets coal import and export data by country, quantity, and price.
019d758dget mine production
Gets specific coal production data for an individual mine, including its name, company, county, and rank.
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What you can do with this MCP connector
Solid Fuels Intelligence gives you deep data on U.S. coal production and the solid fuels market. You'll get mine-level output, state and national totals, market prices by rank (bituminous, lignite, etc.), and coal quality metrics like heat and sulfur. It also tracks international trade flows, recoverable reserves, and nuclear reactor outage events.
Calculating Market Prices
'get_coal_prices' lets you grab coal market prices by rank, region, and mine type; you can break those down for bituminous, subbituminous, lignite, and anthracite.
Tracking Production Volumes
'get_coal_production' gives you total coal production data broken down by state, mine type, and coal rank.
Analyzing Coal Quality Metrics
'get_coal_quality' provides data on coal consumption and quality, including heat content, sulfur, and ash percentages.
Determining Resource Reserves
'get_coal_reserves' gives you information on recoverable coal reserves, productive capacity, and available stocks.
Mapping International Trade Flows
'get_coal_trade' tracks coal import and export data by country, quantity, and price.
Detailing Individual Mine Output
'get_mine_production' gets specific coal production data for an individual mine, giving you its name, company, county, and rank.
How Coal & Mining MCP Works
- 1 Tell your AI client exactly what you need: Are you checking reserve capacity, or do you need the trade volume for a specific country?
- 2 Your agent calls the specific tool (e.g.,
get_coal_reserves) and passes the required parameters (like a region or time frame). - 3 The server returns the structured data, allowing your agent to synthesize market reports or comparison tables.
The bottom line is, you don't have to sift through EIA reports; you just ask for the specific data point you need.
Who Is Coal & Mining MCP For?
Energy companies, commodity traders, utility procurement teams, and environmental regulators use this. If your job involves modeling resource scarcity, tracking supply chain risks, or predicting commodity price swings, you need this. It cuts out days of data compilation.
Uses get_coal_prices and get_coal_trade to monitor price volatility and determine optimal times for buying or selling coal across different global markets.
Uses get_coal_quality and get_mine_production to check if potential suppliers meet required specifications (like heat content or low sulfur) before signing a contract.
Uses get_coal_reserves and get_coal_production to build long-term models of U.S. energy supply, factoring in depletion rates and state-level output.
What Changes When You Connect
- See immediate market pricing by calling
get_coal_prices. You don't have to cross-reference multiple EIA tables to find the current price for bituminous vs. lignite coal in different regions. - Know where the supply is coming from.
get_mine_productiongives you the raw output for specific mines, whileget_coal_productiongives you the big picture—state-by-state totals. - Model resource depletion. Use
get_coal_reservesto track recoverable reserves and productive capacity. This moves your analysis from current output to long-term sustainability. - Understand the supply chain flow.
get_coal_tradetracks exports and imports by country and rank, whileget_coal_productionaccounts for domestic usage, giving a full picture of commodity movement. - Verify coal suitability.
get_coal_qualityprovides heat content, sulfur, and ash data. This ensures that the coal you're modeling actually meets industry specifications. - Track industry health. By comparing
get_coal_productionwithget_coal_reserves, you can quickly assess if the industry's output is keeping pace with its available resource base.
Real-World Use Cases
Evaluating a potential supplier deal
A utility procurement manager needs to vet a new coal supplier in the Midwest. Instead of manual calls, they ask their agent to run get_mine_production for the specific mine and then run get_coal_quality to check the heat and sulfur content. The agent delivers a single data packet confirming if the mine meets the required specs.
Analyzing global market shifts
A commodity trader needs to know if a trade dispute is affecting coal prices. They ask the agent to cross-reference get_coal_trade (for import/export volumes) with get_coal_prices and get_coal_reserves. The system immediately flags potential price instability linked to trade route disruptions.
Forecasting national supply gaps
An energy analyst runs a scenario: What happens if production drops? They use get_coal_production to set the baseline, then run get_coal_reserves to see the remaining supply, and finally use get_coal_quality to model the impact of a mix of lower-grade coal.
Due diligence on a new region
A corporate developer needs to understand a region's coal potential. They use get_coal_reserves for the total recoverable capacity and get_coal_trade to see if the region is already a major export hub. This quickly scopes the project's potential scale.
Comparing regional pricing models
A trader needs to compare the pricing of Appalachian coal versus Illinois Basin coal. They run get_coal_prices and get the immediate, side-by-side regional breakdowns, saving time over checking multiple industry reports.
The Tradeoffs
Checking only the current day's price
Only asking get_coal_prices for 'today's average price.' This gives you a single number and tells you nothing about market trends, regional variations, or supply constraints.
→
Always combine get_coal_prices with get_coal_reserves and get_coal_quality. This shows if the price spike is sustainable given the available reserves and the quality of the current supply.
Assuming all coal is the same
Only looking at the total output from get_coal_production and assuming it's usable. You miss the fact that the mix of coal ranks (bituminous vs. lignite) drastically changes its utility and value.
→
Use get_coal_quality to break down the output. This checks the heat, sulfur, and ash content, ensuring the production volume is actually usable for your intended purpose.
Ignoring international factors
Modeling a plant's fuel needs based only on local data. You fail to account for global supply chain shocks or alternative fuel sources.
→
Run get_coal_trade to see global imports and exports. This context is necessary to understand if local shortages are part of a wider market trend.
When It Fits, When It Doesn't
Use this if you need to model the relationship between coal's physical attributes and its economic value. Specifically, run a combination of get_coal_quality (the physical input) and get_coal_prices (the economic output). Don't use it if you just need a single number, like the current national production total—use get_coal_production for that. If your focus is purely on long-term resource sustainability and depletion modeling, prioritize get_coal_reserves alongside get_coal_production to see the trajectory, not just the current state. If you only care about global logistics, stick to get_coal_trade.
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 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Sifting through coal data used to take days of manual work.
Right now, if you want a comprehensive view of the coal market, you're stuck jumping between the EIA website, regional reports, and commodity data feeds. You download a spreadsheet for reserves, open another one for prices, and then manually cross-reference a third source just to get the quality metrics. It's a huge amount of copy-pasting and comparison.
With this MCP Server, you just ask your agent for the full picture. It runs the necessary tools—like `get_coal_reserves`, `get_coal_prices`, and `get_coal_quality`—and returns a single, structured report. You get the answer, not the data dump.
Using EIA Coal & Mining — Solid Fuels Intelligence MCP Server
You eliminate the need to check six different data silos. The agent handles the sequencing—it calls `get_mine_production` for the local data, then `get_coal_production` for the state total, and finally uses `get_coal_trade` to place that local output into a global context. It's a single workflow.
The difference is scope. You're no longer just reporting data; you're asking the system to connect the pieces. You get a synthesized view of the entire supply chain, instantly.
Common Questions About Coal & Mining MCP
How do I check the price of coal using `get_coal_prices`? +
You specify the coal rank, region, and mine type you're interested in. The tool returns the market price, including detailed breakdowns for bituminous, subbituminous, lignite, and anthracite.
What is the difference between `get_coal_production` and `get_mine_production`? +
get_mine_production gives output for a single, named mine. get_coal_production gives the aggregate total for a state or the whole nation, regardless of the specific mine name.
Can I track global coal trade using `get_coal_trade`? +
Yes. get_coal_trade tracks imports and exports by country, quantity, and price. This helps you model international market dependencies.
How do I check coal quality using `get_coal_quality`? +
You request the metrics (heat content, sulfur, ash) for a given sector or time. The tool returns the percentage and BTU/lb data points needed for suitability analysis.
Does `get_coal_reserves` include future production estimates? +
Yes, it provides not only recoverable reserves but also productive capacity and current stocks, giving you a full picture of the resource base.
How do I check for nuclear reactor outages using the data available through this server? +
You can check for nuclear outages using the dedicated facility data. This tool provides plant-level outage events for U.S. nuclear reactors, helping you track planned and unplanned maintenance downtime.
What kind of data does `get_coal_quality` return (e.g., BTU/lb, sulfur, ash)? +
It returns key metrics including heat content (BTU/lb), sulfur percentage (%), and ash percentage (%). This lets you analyze the specific composition of coal by sector.
Does `get_coal_reserves` include productive capacity and current stocks? +
Yes, get_coal_reserves covers three metrics: recoverable reserves, productive capacity, and existing stocks. This gives you a complete picture of the industry's current resource status.
Does this include nuclear data? +
Yes! In addition to comprehensive coal data, this server includes EIA nuclear outage tracking for all U.S. commercial nuclear reactors. For nuclear generation data, see the Electricity server.
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