qrz-mcp

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

Part of the qso-graph project. Depends on adif-mcp for persona and credential management.

Install

pip install qrz-mcp

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

Quick Start

1. Set up credentials

qrz-mcp uses adif-mcp personas for credential management. QRZ has two separate auth mechanisms — set up whichever you need:

# Install adif-mcp if you haven't
pip install adif-mcp

# Create a persona
adif-mcp persona create ki7mt --callsign KI7MT

# Enable QRZ provider
adif-mcp persona provider ki7mt qrz --username KI7MT

# Set password (for XML API: qrz_lookup, qrz_dxcc)
adif-mcp persona secret ki7mt qrz

# Set API key (for Logbook API: qrz_logbook_status, qrz_logbook_fetch)
adif-mcp creds set --persona ki7mt --provider qrz --api-key YOUR_API_KEY

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):

{
  "mcpServers": {
    "qrz": {
      "command": "qrz-mcp"
    }
  }
}

Claude Code

Add to .claude/settings.json:

{
  "mcpServers": {
    "qrz": {
      "command": "qrz-mcp"
    }
  }
}

ChatGPT Desktop

ChatGPT supports MCP via the OpenAI Agents SDK. Add under Settings > Apps & Connectors, or configure in your agent definition:

{
  "mcpServers": {
    "qrz": {
      "command": "qrz-mcp"
    }
  }
}

Cursor

Add to .cursor/mcp.json (project-level) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "qrz": {
      "command": "qrz-mcp"
    }
  }
}

VS Code / GitHub Copilot

Add to .vscode/mcp.json in your workspace:

{
  "servers": {
    "qrz": {
      "command": "qrz-mcp"
    }
  }
}

Gemini CLI

Add to ~/.gemini/settings.json (global) or .gemini/settings.json (project):

{
  "mcpServers": {
    "qrz": {
      "command": "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 4 tools without QRZ credentials:

QRZ_MCP_MOCK=1 qrz-mcp

MCP Inspector

qrz-mcp --transport streamable-http --port 8002

Then open the MCP Inspector at http://localhost:8002.

Development

git clone https://github.com/qso-graph/qrz-mcp.git
cd qrz-mcp
pip install -e .

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