Query real-time and historical energy data from the U.S. Energy Information Administration, including electricity generation, fuel prices, and renewable energy statistics. Built for developers building energy analytics, grid monitoring, or sustainability reporting tools.
com.olyport/eia
https://mcp.olyport.com/eia/mcp
HTTP
No auth required
How models use it and what it is built for.
Query real-time and historical energy data from the U.S. Energy Information Administration, including electricity generation, fuel prices, and renewable energy statistics. Built for developers building energy analytics, grid monitoring, or sustainability reporting tools.
Hosted endpoint — paste into any MCP client.
Where to find authoritative docs and source for DOE Energy Information.
Paste any of these into Agent Studio after connecting DOE Energy Information.
Common questions about connecting and running DOE Energy Information.
What energy data does this MCP server provide?
The server provides access to EIA (U.S. Energy Information Administration) data including electricity prices and generation by state, fuel prices (natural gas, crude oil, coal), and renewable energy capacity and generation statistics. Data is available both real-time and historical.
How do I authenticate with the EIA data source?
The server is hosted at https://mcp.olyport.com/eia/mcp and uses HTTP transport. Check the server documentation or contact the provider for any required API keys or authentication headers needed to access EIA datasets.
What's the difference between this and querying EIA directly?
This MCP server wraps EIA data in a standardized Model Context Protocol interface, making it easy to integrate energy data queries directly into AI chat workflows and applications without managing separate API clients.
Can I get historical energy data or only current prices?
The server provides both real-time and historical energy data from EIA, allowing you to analyze trends over time for electricity, fuel prices, and renewable generation.
What use cases is this server built for?
Common use cases include energy analytics dashboards, grid monitoring systems, sustainability reporting, renewable energy forecasting, and applications that need to correlate energy prices with other business metrics.
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