Enables AI agents to process RF signals, perform spectral analysis, and execute radar DSP primitives such as Range-Doppler processing and CFAR detection, supporting both file-based and live SDR capture.
MCP server that exposes a deterministic force-on-force simulation of FPV sUAS vs counter-UAS RF direction finding as tools for AI agents to run engagements, sweep seeds, and compare configurations.
Enables natural language control of a live GNU Radio SDR flowgraph, allowing users to tune frequencies, adjust gain, capture IQ samples, analyze spectra, and detect signals through an MCP-compatible client.
Enables control of Software Defined Radios and decoding of radio protocols through an AI-friendly Model Context Protocol interface, supporting RTL-SDR and HackRF hardware for signal analysis and protocol decoding.