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by rbhughes • Uncategorized
An AI-powered wildfire risk monitoring MCP server integrating satellite, weather, and air quality data with a natural language interface.
Real-time wildfire detection and risk scoring using multi-source environmental data.
Filter out false positives from industrial heat sources in fire detection data.
A natural language interface to query and visualize wildfire and air quality information.
This MCP server provides real-time wildfire detection and risk assessment by combining NASA FIRMS satellite data, NOAA weather indices, EPA AirNow air quality data, and PurpleAir sensor networks. It features an intelligent filtering system to remove industrial heat sources and offers interactive visualizations and a local LLM-powered natural language interface for querying fire data conversationally. The system runs fully locally without cloud dependencies, enabling fast and private wildfire monitoring and analysis.