GR-MCP: A gnuradio MCP Server

by yoelbassin

45 stars
370 downloads
Not rated
GitHub

About

GR-MCP is an LLM-driven RF tool for Claude Code. Describe what you want on the air and it surveys the spectrum, builds and runs a receiver, looks at the signal, and leaves a reproducible RF project behind — SigMF captures, YAML pipelines, and .grc flowgraphs you own. It is…

Details

Author
yoelbassin
GitHub stars
45
Downloads
370
Categories
Other, Automation

- Survey‑spectrum: detect signals, PSD, spectrogram
- Simulate‑scene: register a simulated device from a description
- Build‑receiver: channelize, demodulate, validate, run, verify, save
- Debug‑no‑signal: locate faults 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

Install via Claude Code’s plugin marketplace with /plugin marketplace add yoelbassin/gr-mcp and /plugin install marconi. No further configuration is needed; uv starts the MCP server on first use. Then ask in plain language, e.g. "Simulate an FM station at 100.3 MHz and build me a receiver."

Marconi 🤖

        o)))
        |
    .-------.
    | o   o |
    |   v   |
    '-------'

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 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.

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