MCP server enabling LLMs to simulate, analyze, and build GNU Radio RF flowgraphs autonomously.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
One-click editor setup isnβt available for this listing yet β we donβt have a confirmed install command, and weβd rather show nothing than point your editor at the wrong package or host. Follow the projectβs own setup instructions, linked above.
Inspect callable tools, capabilities, and parameters exposed to AI agents by GnuradioMCP.
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 β SigMF captures, YAML pipelines, and .grc flowgraphs you own.
Early development β v1.0 is simulation-only (no hardware yet). See
ROADMAP.md.
Proviously known as GNURadio/GR-MCP.
uv and Python β₯ 3.13In Claude Code:
That's it β uv starts the MCP server on first use and loads the skills. Nothing
else to configure.
Ask in plain language:
"Simulate an FM station at 100.3 MHz and build me a receiver."
"Here's a capture,
mystery.wavβ survey what's on the air, then decode the strongest carrier."
I pick the right skill and drive the workflow end to end:
Artifacts land under artifacts/ in the server's working directory; set
MARCONI_WORKSPACE to put them elsewhere.
Factual signals from GitHub, npm, and our automated checks β not a rating.
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