modelscope·@N-Erickson/AetherLink-SDR-MCP
暂无描述。
Control Software Defined Radios and decode radio protocols through an AI-friendly Model Context Protocol interface.
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
Python 3.10+
# 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]"
Add to your Claude Desktop configuration (claude_desktop_config.json):
{
"mcpServers": {
"aetherlink": {
"command": "python",
"args": ["-m", "sdr_mcp.server"],
"env": {}
}
}
}
# 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"
| 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 | 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 |
| 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 |
pytest tests/
docker-compose up
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暂无描述。
一种模型上下文协议服务器,它将Wireshark的网络分析能力与Claude等人工智能系统集成在一起,允许在无需手动复制的情况下直接分析网络数据包。
通过SearchAPI.site将AI助手连接到外部数据源(如Google、Bing等),并通过模型上下文协议(MCP)实现对网络信息的安全和上下文访问。
暂无描述。
暂无描述。