Analyzes the US power grid in real-time, correlating live data to provide intelligence and calculate stress levels based on NERC-calibrated reliability thresholds.
Sponsored
Voltsentry is a production-grade Model Context Protocol (MCP) server providing real-time situational awareness of the US electrical infrastructure. By correlating live data from the EIA and NOAA, it calculates grid stress using NERC-calibrated reliability thresholds. It integrates data from the EIA API (demand, forecast, net generation), NOAA Weather API (temperature), and EIA Nuclear Outages to generate a 0-100 stress score with actionable insights. The tool offers both an MCP endpoint for seamless AI agent integration and a standard REST API for broader application development, enabling access to constantly updated grid intelligence.
主要功能
01Real-time US power grid stress analysis
02Correlates live data from EIA and NOAA APIs
03NERC-calibrated reliability scoring algorithm
04Model Context Protocol (MCP) integration for AI agents
05Standard REST API for custom application development
060 GitHub stars
使用案例
01Empowering AI agents with real-time grid intelligence for autonomous crisis assessment
02Developing automation scripts for real-time energy grid insights
03Building custom dashboards and mobile applications for power grid monitoring