# io.github.qso-graph/ionis-mcp

> Use this tool when you need to analyze HF radio propagation patterns and predict band conditions using natural language queries. It solves problems related to understanding solar correlations and propagation paths by providing insights from the IONIS dataset collection. The tool accepts natural language inputs and outputs detailed analytics and forecasts, making it ideal for use in contexts where HF radio communication planning is critical.

Canonical page: https://skillsregistry.net/skills/qso-graph-ionis-mcp  
JSON: https://api.skillsregistry.net/v1/skills/qso-graph-ionis-mcp

## Description

An MCP server for HF radio propagation analytics using the IONIS dataset collection, enabling natural language queries about band conditions, propagation paths, and solar correlations.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pi6bn0h2op)
- **Repository:** <https://github.com/qso-graph/ionis-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "qso-graph-ionis-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qso-graph-ionis-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qso-graph-ionis-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt