Marconi 🤖

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    Hi! I'm Marco.

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](https://docs.astral.sh/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:

/plugin marketplace add yoelbassin/gr-mcp
/plugin install marconi

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-or-later.