EIA-MCP: Real-Time Energy Data Analysis for AI Agents

We are releasing EIA-MCP, an open-source Model Context Protocol (MCP) server that provides AI agents with direct access to the U.S. Energy Information Administration's comprehensive energy datasets.

This tool enables real-time querying of critical energy market data including natural gas storage levels, petroleum inventories, electricity generation statistics, and renewable energy production metrics.

Key Capabilities

Monitor weekly inventory changes and perform regional analysis to identify storage trends and anomalies that impact pricing. Access comprehensive data covering crude oil, gasoline, and distillate stocks to understand supply dynamics in petroleum markets. Analyze power generation across fuel sources and geographic regions to track the energy transition.

Example Queries

Ask questions in natural language and EIA-MCP will retrieve the relevant data. "What's the current natural gas storage level?" returns the latest weekly natural gas inventory data. "Compare natural gas storage to the 5-year average" analyzes current levels against historical benchmarks. "Are natural gas inventories bullish or bearish right now?" provides market sentiment analysis based on current supply data.

Real-World Applications

Traders can quickly assess inventory levels, identify supply-demand imbalances, and make informed decisions based on real-time EIA data. Portfolio managers can monitor energy exposure across commodities and understand how supply dynamics might impact positions.

Conclusion

EIA-MCP democratizes access to critical energy market data by making it available through natural language queries. The project is open source and available on GitHub. Contributions and feedback are welcome.

References

GitHub Repository: EIA-MCP on GitHub