SDR MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@SDR MCP Servertune to 101.1 MHz and check signal strength"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
SDR MCP Server
Conversational AI control for Software Defined Radio via the Model Context Protocol.
Control RTL-SDR hardware through natural dialogue — query spectrum, tune frequencies, browse station databases, and visualize real-time waterfall displays. Works with Claude Desktop, any MCP client, or the included web dashboard.
Quick Start
git clone https://github.com/sandraschi/sdr-mcp
cd sdr-mcp
justThis opens an interactive dashboard showing all available commands. Run just bootstrap to install dependencies, then just serve or just dev to start.
Manual Setup
If you don't have just installed:
Install
pip install sdr-mcp
Check hardware
sdr-mcp check
Start server (STDIO mode for Claude Desktop)
sdr-mcp serve For the web dashboard: cd web_sota npm install npm run dev
Documentation
Document | What it covers |
Full setup, drivers, configuration | |
System design, data flow, transport | |
All 17 MCP tools with examples | |
Radio basics for beginners | |
Recommended hardware specs |
Features
Hardware Control
Auto-detect RTL-SDR devices, initialize and configure
Set frequency (24 MHz — 1.766 GHz), gain (auto or manual)
Real-time IQ sample capture and spectrum processing
Spectrum Analysis
2048-point FFT with Hamming window
Peak detection and signal strength analysis
Waterfall history (100 lines) for time-varying signals
Frequency Database
11 pre-loaded stations across LW/MW/SW/VHF bands
Program schedules with current-playing info
Online search via radio-browser.info (25k+ stations)
WebSocket Streaming
Real-time spectrum broadcast to web clients
Remote frequency/gain control via WebSocket commands
Canvas-based spectrum and waterfall visualizations
Web Dashboard
Spectrum Analyzer — live FFT plot with frequency/gain controls
Waterfall Display — color-coded time-frequency visualization
Station Browser — search, favorites, band filters
Online DB — query radio-browser.info by name/country/genre
Signal ID — lookup signal types on SigID Wiki
Hardware
Recommended: RTL-SDR Blog v4 (~$35)
24 MHz — 1.766 GHz continuous coverage
0.5 ppm TCXO for frequency stability
SMA connector, aluminum enclosure, bias tee
Any RTL2832U-based SDR with R820T2 tuner works. See RTL_SDR_V4.md for full specs.
Project Structure
sdr-mcp/
├── README.md # This file
├── docs/ # Documentation
│ ├── INSTALL.md # Setup guide
│ ├── ARCHITECTURE.md # System design
│ ├── MCP_SERVER.md # Tool reference
│ ├── SDR_TECHNOLOGY.md # Radio primer
│ └── RTL_SDR_V4.md # Hardware specs
├── pyproject.toml # Python package config
├── justfile # Lint, fix, security recipes
├── start.ps1 # Launch backend + webapp
├── src/sdr_mcp/ # Python backend
│ ├── server.py # FastMCP server, 17 tools
│ ├── capture.py # RTL-SDR hardware interface
│ ├── processor.py # FFT / spectrum processing
│ ├── frequency_db.py # Station database
│ ├── online_db.py # radio-browser.info API
│ ├── websocket_server.py # Real-time WebSocket stream
│ ├── transport.py # STDIO / HTTP transport
│ └── cli.py # Command-line interface
├── web_sota/ # React/TypeScript webapp
│ └── src/
│ ├── pages/ # Spectrum, Waterfall, Stations, etc.
│ └── components/ # Layout, UI components
└── tests/ # Pytest test suiteTech Stack
Layer | Technology |
Protocol | FastMCP 3.2, MCP 2.14+ |
Backend | Python 3.12, asyncio |
Hardware | pyrtlsdr, RtlSdr |
Signal | numpy, scipy (FFT) |
Streaming | websockets (RFC 6455) |
Frontend | React 19, TypeScript, Vite |
UI | Tailwind CSS, Radix UI, Lucide icons |
Standards | Fleet SOTA, ruff, Biome, just |
License
MIT
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