Ionis MCP Server

Most developer tooling work still happens through a UI a human drives. Ionis MCP server moves it into the conversation instead. HF propagation analytics. 175M WSPR/RBN signatures, band openings, solar correlation.

The short version

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.

The tools it exposes

The server publishes 13 tools. What each one is for:

• list_datasets — Show available datasets with row counts and file sizes
• query_signatures — Flexible signature lookup — filter by source, band, grid, hour, month
• band_openings — Hour-by-hour propagation profile for a path on a specific band
• path_analysis — Complete path analysis across all bands, hours, months, and sources
• solar_correlation — SFI effect on propagation — grouped by solar flux bracket
• grid_info — Maidenhead grid decode with solar elevation computation
• compare_sources — Cross-dataset comparison (WSPR vs RBN vs Contest vs PSKR)
• dark_hour_analysis — Classify paths by solar geometry — both-day, cross-terminator, both-dark
• solar_history — Historical solar indices for any date range
• band_summary — Band overview — hour distribution, top grid pairs, distance range
• current_conditions — Live propagation forecast — SFI, Kp, solar wind, band outlook, POTA/SOTA tips
• get_version_info — Service version + upstream dataset version (fleet identity attestation)

What it needs from you

Configuration is passed through the environment: IONIS_DATA_DIR. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Getting it running

The server ships on PyPI as ionis-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

How it compares

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Ionis's toolset — list_datasets, query_signatures, band_openings and 10 more — is a fair guide to whether it matches your workflow. It is maintained by IONIS-AI; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Things to watch

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• With 13 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Ionis.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.