Provides AI assistants with access to vast amateur radio telemetry datasets for comprehensive HF propagation analytics.
Sponsored
IONIS is a Model Context Protocol (MCP) server that seamlessly integrates with AI assistants, enabling them to answer complex questions about HF (shortwave) radio propagation. It leverages the extensive IONIS dataset collection, comprising over 175 million aggregated signatures from 14 billion WSPR, RBN, Contest, DXpedition, and PSK Reporter observations spanning two decades. By bridging these massive datasets, IONIS-mcp empowers AI to perform detailed propagation analysis, predict band openings, analyze solar correlation, and compare various telemetry sources, all without requiring direct SQL interaction from the user.
Características Principales
010 GitHub stars
02Historical solar indices and solar wind data lookup
03Solar geometry classification (day/night/twilight) for propagation context
04Comprehensive path analysis for any grid pair, band, and time
05Cross-dataset comparison of WSPR, RBN, Contest, DXpedition, and PSK Reporter observations
06Flexible querying of HF propagation signatures across multiple sources
Casos de Uso
01Predicting optimal times for HF radio communication between specific locations
02Analyzing the impact of solar flux and geomagnetic storms on radio propagation
03Comparing performance and characteristics across different amateur radio telemetry networks
