"Signal" matching MCP servers:

MCP for Scorable Evaluation Platform

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 access SignalK marine data with 90-96% token reduction by executing JavaScript code in V8 isolates for client-side filtering and processing.

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.

Provides GDB debugging functionality for use with Claude or other AI assistants, allowing users to manage debugging sessions, set breakpoints, examine variables, and execute GDB commands through natural language.

Enables controlling a local Scilab/Xcos installation to discover installed block libraries, create native block templates, read, write, and validate diagrams, and run simulations of arbitrary positive duration that return named numerical signal series. It exposes these capabilities as MCP tools over stdio or streamable HTTP, with model file access restricted to configured filesystem roots.