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

> Use this tool when you need to parse and validate amateur radio QSO logs in ADIF 3.1.6 format, solving issues with log data consistency and compliance. It takes ADIF files as input and outputs validated log data, ensuring accuracy and adherence to the full ADIF specification. Ideal for amateur radio operators and log managers seeking to ensure error-free and standardized QSO logs.

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

## Description

ADIF 3.1.6 parser and validator for amateur radio QSO logs. Full spec coverage.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.9.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.qso-graph%2Fadif-mcp)
- **Repository:** <https://github.com/qso-graph/adif-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": "io-github-qso-graph-adif-mcp"
    }
  }
}
```

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

---
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