# qrz-mcp

> Use this tool when you need to perform callsign lookups, resolve DXCC entities, or query logbook data from QRZ.com. It provides a seamless interface for MCP-compatible AI assistants to retrieve relevant information, solving problems related to amateur radio operations and data management. With inputs such as callsigns or entity names, it outputs detailed information, making it an ideal solution for amateur radio enthusiasts and operators.

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

## Description

MCP server for QRZ.com — callsign lookups, DXCC entity resolution, and logbook queries through any MCP-compatible AI assistant.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zru0kkn1nv)
- **Repository:** <https://github.com/qso-graph/qrz-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-qrz-mcp"
    }
  }
}
```

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