{"repo":"yoelbassin/gr-mcp","free":true,"listed":false,"github":"https://github.com/yoelbassin/gr-mcp","clone":"git clone https://github.com/yoelbassin/gr-mcp.git","description":"MCP server for GNU Radio","language":"Python","stars":48,"topics":[],"license":"GPL-3.0","category":"mcp-servers","readme_excerpt":"Marconi 🤖 LLM-driven RF for Claude Code. Describe what you want on the air and I survey the spectrum, build and run the receiver, look at the signal, and leave a reproducible RF project behind — SigMF captures, YAML pipelines, and .grc flowgraphs you own. Early development — v1.0 is simulation-only (no hardware yet). See ROADMAP.md . Proviously known as GNURadio/GR-MCP. Requirements - uv and Python ≥ 3.13 - GNU Radio 3.10+ installed system-wide (conda-forge, your distro's package manager, or Homebrew) — needed to run pipelines and simulate. Analyzing existing IQ files doesn't require it. Install In Claude Code: That's it — uv starts the MCP server on first use and loads the skills. Nothing else to configure. Use it Ask in plain language: \"Simulate an FM station at 100.3 MHz and build me a receiver.\" \"Here's a capture, mystery.wav — survey what's on the air, then decode the strongest carrier.\" I pick the right skill and drive the workflow end to end: - survey-spectrum — what's present (PSD, signal detection, spectrogram) - simulate-scene — register a simulated device from a description - build-receiver — channelize, demodulate, validate, run, verify, save - debug-no-signal — locate the fault when a receiver outputs nothing - tx-experiment — closed-loop transmit-then-receive in simulation - escape-hatch — drop to the Python library when no tool fits Artifacts land under artifacts/ in the server's working directory; set MARCONI WORKSPACE to put them elsewhere. License GPL-3.0-o","default_branch":null,"files":null,"tree":[],"storefront":"/r/yoelbassin","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/yoelbassin/gr-mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}