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.
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.
An MCP server that enables natural language-driven creation and management of GNU Radio flowgraphs with validated block connections and parameter configurations. It provides tools for searching the GNU Radio block library, detecting SDR hardware, and generating functional signal processing code.
Enables AI agents to control and analyze RFID hardware through natural language: read, crack, emulate, and clone cards via MCP tools, with safety gates, offline dump analysis, and a host-side card library.
Enables AI agents to read frequency, mode, and signal meter, as well as set frequency and control PTT on Icom IC-705/9700 and CI-V transceivers over the network using the RS-BA1 protocol.