lotw-mcp
MCP server for ARRL Logbook of The World (LoTW) — query confirmations, uploaded QSOs, DXCC credits, and user activity through any MCP-compatible AI assistant.
Part of the qso-graph project. Read-only — uploads require TQSL digital signatures and are out of scope.
Install
uvx lotw-mcp # run it; nothing to install
Tools
| Tool | Auth | Description |
|---|---|---|
lotw_confirmations |
Yes | Query confirmed QSLs with band/mode/call/date filters |
lotw_qsos |
Yes | Query all uploaded QSOs (confirmed and unconfirmed) |
lotw_dxcc_credits |
Yes | DXCC award credits from LoTW confirmations |
lotw_download |
Yes | Download QSOs as ADIF file |
lotw_user_activity |
No | Check if a callsign uses LoTW and when they last uploaded |
get_version_info |
No | Service version + upstream LoTW schema version (fleet identity attestation) |
Quick Start
1. Set up credentials
lotw-mcp uses qso-graph-auth personas for credential management:
# Install qso-graph-auth if you haven't
uv tool install qso-graph-auth
# A persona (your callsign and the dates it covers), then LoTW for it
qso-auth persona add --name ki7mt --callsign KI7MT --start 2020-01-01
qso-auth provider enable ki7mt lotw
qso-auth creds set ki7mt lotw # asks for your username, then your password (hidden)
All three steps are needed: without provider enable, the server reports that the persona has no lotw ref.
Note: The LoTW login is usually your callsign but not always. Pre-Sept 2019 accounts may require lowercase passwords. Avoid special characters in passwords.
2. Configure your MCP client
Claude Desktop
Add to claude_desktop_config.json (~/Library/Application Support/Claude/ on macOS, %APPDATA%\Claude\ on Windows):
{
"mcpServers": {
"lotw": {
"command": "uvx",
"args": ["lotw-mcp"]
}
}
}
Claude Code
Add to .claude/settings.json:
{
"mcpServers": {
"lotw": {
"command": "uvx",
"args": ["lotw-mcp"]
}
}
}
ChatGPT Desktop
{
"mcpServers": {
"lotw": {
"command": "uvx",
"args": ["lotw-mcp"]
}
}
}
Cursor
Add to .cursor/mcp.json (project-level) or ~/.cursor/mcp.json (global):
{
"mcpServers": {
"lotw": {
"command": "uvx",
"args": ["lotw-mcp"]
}
}
}
VS Code / GitHub Copilot
Add to .vscode/mcp.json in your workspace:
{
"servers": {
"lotw": {
"command": "uvx",
"args": ["lotw-mcp"]
}
}
}
Gemini CLI
Add to ~/.gemini/settings.json (global) or .gemini/settings.json (project):
{
"mcpServers": {
"lotw": {
"command": "uvx",
"args": ["lotw-mcp"]
}
}
}
3. Ask questions
"How many LoTW confirmations did I get this month?"
"Show me all unconfirmed 20m FT8 QSOs uploaded to LoTW in the last 90 days"
"What DXCC credits do I have on 40m CW?"
"Does JA1ABC use LoTW? When did they last upload?"
Public Tool
lotw_user_activity works without any credentials. It uses the public LoTW user activity CSV, cached locally for 7 days.
Testing Without Credentials
Set the mock environment variable:
LOTW_MCP_MOCK=1 lotw-mcp
Performance Notes
LoTW can be slow (30-60s for large queries). lotw-mcp uses 120s timeouts. Use date filters (since, start_date) to limit result sets.
MCP Inspector
lotw-mcp --transport streamable-http --port 8004
Development
git clone https://github.com/qso-graph/lotw-mcp.git
cd lotw-mcp
uv sync --group dev
uv run pytest
License
GPL-3.0-or-later
Metadata
Release files for lotw-mcp 0.3.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lotw_mcp-0.3.6.tar.gz | 132.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lotw_mcp-0.3.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 144.2 kB
Release files / lotw_mcp-0.3.6.tar.gz
| Download URL | lotw_mcp-0.3.6.tar.gz |
|---|---|
| Size | 132.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
8b0ec9c2340a64992bc86e5ae2e344925db922a2b9ab7e3e0f302be72ef8f41e
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / lotw_mcp-0.3.6-py3-none-any.whl
| Download URL | lotw_mcp-0.3.6-py3-none-any.whl |
|---|---|
| Size | 11.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
95ac049bf10a1c122eb662a38bd3b7a5cbc758805764e3b0d9105f5f75e4c03d
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 6, 2026.
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