qrz-mcp
<!-- mcp-name: io.github.qso-graph/qrz-mcp -->
# qrz-mcp
[](https://pypi.org/project/qrz-mcp/)
[](https://registry.modelcontextprotocol.io/v0/servers?search=io.github.qso-graph/qrz-mcp&version=latest)
MCP server for [QRZ.com](https://www.qrz.com/) — callsign lookups, DXCC entity resolution, and logbook queries through any MCP-compatible AI assistant.
Part of the [qso-graph](https://qso-graph.io/) project. Uses [qso-graph-auth](https://pypi.org/project/qso-graph-auth/) for credential management.
## Install
```bash
uvx qrz-mcp # run it; nothing to install
```
## Tools
| Tool | API | Auth | Description |
|------|-----|------|-------------|
| `qrz_lookup` | XML | Session key | Callsign lookup (name, grid, DXCC, license class, QSL info, image) |
| `qrz_dxcc` | XML | Session key | DXCC entity resolution from callsign or entity code |
| `qrz_logbook_status` | Logbook | API key | Logbook stats (QSO count, DXCC total, date range) |
| `qrz_logbook_fetch` | Logbook | API key | Query QSOs with filters and transparent pagination |
| `qrz_download` | Logbook | API key | Download full logbook as ADIF |
| `get_version_info` | — | None | Service version + upstream QRZ API version (fleet identity attestation) |
## Quick Start
### 1. Set up credentials
qrz-mcp uses qso-graph-auth personas for credential management. QRZ has **two separate auth mechanisms**, exposed as two providers — set up whichever you need:
| Provider | Tools | Credentials |
|----------|-------|-------------|
| `qrz` | `qrz_lookup`, `qrz_dxcc` | username + password |
| `qrz_logbook` | `qrz_logbook_status`, `qrz_logbook_fetch`, `qrz_download` | username + API key |
```bash
# Install qso-graph-auth if you haven't
uv tool install qso-graph-auth
# Create a persona (--start is required)
qso-auth persona add --name ki7mt --callsign KI7MT --start 2018-01-01
# XML API (qrz_lookup, qrz_dxcc)
qso-auth provider enable ki7mt qrz
qso-auth creds set ki7mt qrz # asks for your username, then your password (hidden)
# Logbook API (qrz_logbook_status, qrz_logbook_fetch, qrz_download)
qso-auth provider enable ki7mt qrz_logbook
qso-auth creds set ki7mt qrz_logbook # asks for your username, then your API key
# Verify
qso-auth creds doctor
```
Pass the persona name (`ki7mt` above) as the `persona` argument on every tool call.
> Omit `--password` / `--api-key` to be prompted instead — passing secrets as CLI arguments leaves them in your shell history.
**XML API** (callsign lookup, DXCC) requires a QRZ XML Subscription ($35.95/yr). Free tier returns name and address only.
**Logbook API** requires an API key from QRZ Settings > API.
### 2. Configure your MCP client
qrz-mcp works with any MCP-compatible client. Add the server config and restart — tools appear automatically.
#### Claude Desktop
Add to `claude_desktop_config.json` (`~/Library/Application Support/Claude/` on macOS, `%APPDATA%\Claude\` on Windows):
```json
{
"mcpServers": {
"qrz": {
"command": "uvx",
"args": ["qrz-mcp"]
}
}
}
```
#### Claude Code
Add to `.claude/settings.json`:
```json
{
"mcpServers": {
"qrz": {
"command": "uvx",
"args": ["qrz-mcp"]
}
}
}
```
#### ChatGPT Desktop
ChatGPT supports MCP via the [OpenAI Agents SDK](https://developers.openai.com/api/docs/mcp/). Add under Settings > Apps & Connectors, or configure in your agent definition:
```json
{
"mcpServers": {
"qrz": {
"command": "uvx",
"args": ["qrz-mcp"]
}
}
}
```
#### Cursor
Add to `.cursor/mcp.json` (project-level) or `~/.cursor/mcp.json` (global):
```json
{
"mcpServers": {
"qrz": {
"command": "uvx",
"args": ["qrz-mcp"]
}
}
}
```
#### VS Code / GitHub Copilot
Add to `.vscode/mcp.json` in your workspace:
```json
{
"servers": {
"qrz": {
"command": "uvx",
"args": ["qrz-mcp"]
}
}
}
```
#### Gemini CLI
Add to `~/.gemini/settings.json` (global) or `.gemini/settings.json` (project):
```json
{
"mcpServers": {
"qrz": {
"command": "uvx",
"args": ["qrz-mcp"]
}
}
}
```
### 3. Ask questions
> "Look up W1AW on QRZ — what's their grid and license class?"
> "What DXCC entity is VP8PJ?"
> "How many QSOs do I have in my QRZ logbook?"
> "Show me all 20m FT8 QSOs from my QRZ logbook this year"
## Rate Limiting
QRZ enforces undocumented rate limits that can trigger **24-hour IP bans**. qrz-mcp protects you:
- 500ms minimum delay between all API calls
- Token bucket: 35 requests/minute
- 60s freeze on authentication failures
- 3600s freeze on connection refused (IP ban detection)
- In-memory response cache (5 min for callsigns, 1 hour for DXCC)
## Testing Without Credentials
Set the mock environment variable to test all 6 tools without QRZ credentials:
```bash
QRZ_MCP_MOCK=1 qrz-mcp
```
## MCP Inspector
```bash
qrz-mcp --transport streamable-http --port 8002
```
Then open the MCP Inspector at `http://localhost:8002`.
## Development
```bash
git clone https://github.com/qso-graph/qrz-mcp.git
cd qrz-mcp
uv sync --group dev
uv run pytest
```
## QRZ Subscription Tiers
| Feature | Free | XML Data ($35.95/yr) |
|---------|------|---------------------|
| Callsign lookups/day | 100 | Unlimited |
| Fields returned | Name + address only | All (grid, lat/lon, DXCC, class, QSL, image) |
| Logbook API | No | Yes |
| DXCC lookup | No | Yes |
## License
GPL-3.0-or-later
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose: version info, logbook download, DXCC entity resolution, filtered QSO queries, logbook statistics, and callsign lookup. No overlapping functionality.
All tools start with 'qrz_' prefix and use descriptive names, but there is some inconsistency in verb usage (e.g., 'get_version_info' vs 'qrz_download' vs 'qrz_dxcc'). However, the pattern is generally clear and predictable.
Six tools cover the core operations for a QRZ integration (lookup, logbook management, version checking) without being excessive. The scope is well-defined.
The set covers essential operations: callsign lookup, DXCC resolution, logbook retrieval and download, and status. Missing write operations like adding QSOs, but that may be out of scope given QRZ's API constraints.