Analyze HF radio propagation patterns using 175M WSPR/RBN signatures and solar data. Built for radio operators and propagation researchers who need band opening forecasts and ionospheric correlation insights.
io.github.qso-graph/ionis-mcp
Local install
STDIO
No auth required
How models use it and what it is built for.
Analyze HF radio propagation patterns using 175M WSPR/RBN signatures and solar data. Built for radio operators and propagation researchers who need band opening forecasts and ionospheric correlation insights.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Qso Graph Ionis.
Paste any of these into Agent Studio after connecting Qso Graph Ionis.
Common questions about connecting and running Qso Graph Ionis.
What data sources does this server use?
The server indexes 175 million WSPR (Weak Signal Propagation Reporter) and RBN (Reverse Beacon Network) signatures to analyze HF band openings and propagation patterns. It correlates this with solar activity data to predict ionospheric conditions.
Who should use this MCP server?
Radio operators, propagation forecasters, and HF enthusiasts who need real-time band opening analysis and historical propagation trends. It's designed for both casual operators and research-level propagation studies.
How do I install and run it?
Install via `uvx ionis-mcp@1.2.7`. The server runs over stdio transport, so connect it to your MCP client and query propagation data directly from your chat interface.
Can I forecast band openings with this?
Yes—the server analyzes historical WSPR/RBN signatures and solar correlation patterns to provide band opening predictions. Accuracy depends on current solar conditions and historical data density for your target bands and paths.
What's the difference between WSPR and RBN data?
WSPR captures weak-signal propagation reports from operators worldwide; RBN aggregates automated beacon reception reports. Together they provide complementary views of propagation—WSPR shows actual QSOs, RBN shows beacon detectability.
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