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AetherLink SDR MCP

by N-Erickson

AetherLink: Software Defined Radio Model Context Protocol Server

Control Software Defined Radios and decode radio protocols through an AI-friendly Model Context Protocol interface.

🚀 Features

  • Direct Hardware Control: RTL-SDR and HackRF

  • Protocol Decoders: ADS-B, AIS, NOAA weather satellites, amateur radio, and more

  • Advanced Analysis: Real-time spectrum analysis, waterfall displays, signal identification

  • MCP Integration: Seamless integration with Claude and other MCP clients

Related MCP server: MCP Hardware Access Library

📦 Installation

Prerequisites

  1. RTL-SDR Drivers:

    # Ubuntu/Debian sudo apt-get install rtl-sdr librtlsdr-dev # macOS brew install librtlsdr # Windows # Download and install from https://osmocom.org/projects/rtl-sdr/wiki
  2. Python 3.10+

Install from Source

# Clone the repository git clone https://github.com/yourusername/aetherlink cd aetherlink # Create virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Install with basic dependencies pip install -e . # Install with all protocol decoders pip install -e ".[decoders]" # Install with HackRF support pip install -e ".[hackrf]"

🎯 Quick Start

Configure MCP Client

Add to your Claude Desktop configuration (claude_desktop_config.json):

{ "mcpServers": { "aetherlink": { "command": "python", "args": ["-m", "sdr_mcp.server"], "env": {} } } }

Basic Usage

# Connect to RTL-SDR "Connect to my RTL-SDR" # Track aircraft "Track aircraft in my area" # Analyze spectrum "Show me what's on the FM broadcast band" # Scan for signals "Scan 430-440 MHz for amateur radio activity"

📡 Supported Hardware

Device

RX Frequency

TX Support

Status

RTL-SDR

24 MHz - 1.7 GHz

✅ Stable

HackRF

1 MHz - 6 GHz

🚧 Beta

PlutoSDR

70 MHz - 6 GHz

📋 Planned

USRP

Varies

📋 Planned

📊 Protocol Support

Protocol

Description

Status

ADS-B

Aircraft tracking

✅ Stable

AIS

Ship tracking

🚧 Beta

NOAA APT

Weather satellites

🚧 Beta

FT8/WSPR

Amateur radio

📋 Planned

LoRa

IoT devices

📋 Planned

🛠️ Available Tools

Tool

Description

sdr_connect

Connect to SDR hardware

sdr_disconnect

Disconnect from SDR

sdr_set_frequency

Set center frequency

sdr_set_gain

Set gain

sdr_get_status

Get hardware status

aviation_track_aircraft

Start ADS-B tracking

spectrum_analyze

Analyze RF spectrum

spectrum_scan

Scan frequency range

recording_start/stop

Record IQ samples

🔧 Development

Running Tests

pytest tests/

Docker Support

docker-compose up
-
security - not tested
F
license - not found
-
quality - not tested

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