Ionis Mcp
About
MCP server for IONIS HF propagation analytics — 175M signatures from WSPR, RBN, Contest, DXpedition, and PSK Reporter.
Details
- Author
- qso-graph
- Downloads
- 302
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- 11 specialized tools for propagation queries — no SQL required
- 175M+ aggregated signatures from 5 major telemetry networks
- Cross-dataset comparisons (WSPR vs RBN vs Contest vs PSKR)
- Solar indices and real-time DSCOVR solar wind data included
- Read-only SQLite connections with parameterized queries
- Graceful degradation when datasets are missing
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Ionis McpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install with pip install ionis-mcp, then download datasets using ionis-download --bundle minimal (or recommended/full). Configure your MCP client (e.g., Claude Desktop) by adding a server entry with "command": "ionis-mcp"; restart the client for the 11 tools to appear. No environment variables are needed unless using a custom data directory (--data-dir or IONIS_DATA_DIR).
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"ionis mcp": {
"ionis": {
"command": "ionis-mcp"
}
}
}
}McpServers
{
"ionis": {
"command": "ionis-mcp"
}
}ionis-mcp
A Model Context Protocol (MCP) server for HF radio propagation analytics, built on the IONIS dataset collection — 175M+ aggregated signatures derived from 14 billion WSPR, RBN, Contest, DXpedition, and PSK Reporter observations spanning 2005-2026.
Overview
IONIS (Ionospheric Neural Inference System) is an open-source machine learning system for predicting HF (shortwave) radio propagation. The datasets — curated from the world's largest amateur radio telemetry networks — are distributed as SQLite files on SourceForge.
ionis-mcp bridges those datasets to AI assistants via the Model Context Protocol. Install the package, download data, and Claude (Desktop or Code) can answer propagation questions using 11 specialized tools — no SQL required.
Example questions:
- "When is 20m open from Idaho to Europe?"
- "How does solar flux affect 15m propagation?"
- "Show me 10m paths at 03z where both stations are in the dark"
- "Compare WSPR and RBN observations on 20m FN31 to JO51"
- "What are the current band conditions? I'm heading out for POTA."
- "What were the solar conditions during the February 2026 geomagnetic storm?"
Datasets
| Source | Signatures | Raw Observations | SNR Type | Years |
|--------|-----------|-----------------|----------|-------|
| WSPR | 93.6M | 10.9B beacon spots | Measured (-30 to +20 dB) | 2008-2026 |
| RBN | 67.3M | 2.3B CW/RTTY spots | Measured (8-29 dB) | 2009-2026 |
| CQ Contests | 5.7M | 234M SSB/RTTY QSOs | Anchored (+10/0 dB) | 2005-2025 |
| DXpeditions | 260K | 3.9M rare-grid paths | Measured | 2009-2025 |
| PSK Reporter | 8.4M | 514M+ FT8/WSPR spots | Measured (-34 to +38 dB) | Feb 2026+ |
| Solar Indices | — | 77K daily/3-hour records | SFI, SSN, Kp, Ap | 2000-2026 |
| DSCOVR L1 | — | 23K solar wind samples | Bz, speed, density | Feb 2026+ |
All signature tables share an identical 13-column schema (tx\_grid, rx\_grid, band, hour, month, median\_snr, spot\_count, snr\_std, reliability, avg\_sfi, avg\_kp, avg\_distance, avg\_azimuth) — ready for cross-source analysis.
Quick Start
```bash
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