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Lotw MCP

by qso-graphversion 0.6.2i★ –iRuns on your computer
Registry nameio.github.qso-graph/lotw-mcp

Install

Overview

Description from the maker (original English)

ARRL Logbook of The World MCP server. QSO query, QSL status, DXCC credit tracking.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "lotw": {
      "command": "uvx",
      "args": [
        "lotw-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add lotw -- uvx lotw-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "lotw": {
      "command": "uvx",
      "args": [
        "lotw-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "lotw": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "lotw-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account qso-graph, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18398 servers in this category
  • Published to the registry more recently than 81% of the other 18398 servers in this category
  • Basic checks equal to or better than 100% of the other 18398 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Lotw MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.6.2) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Tethered Trust

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 3 days ago
Install

Tethered Trust

by tetheredtrust.com

Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.

Runs in the cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

ToolAuthDescription
lotw_confirmationsYesQuery confirmed QSLs with band/mode/call/date filters
lotw_qsosYesQuery all uploaded QSOs (confirmed and unconfirmed)
lotw_dxcc_creditsYesDXCC award credits from LoTW confirmations
lotw_downloadYesDownload QSOs as ADIF file
lotw_user_activityNoCheck if a callsign uses LoTW and when they last uploaded
get_version_infoNoService 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-graph-auth persona add --name ki7mt --callsign KI7MT --start 2020-01-01 qso-graph-auth provider enable ki7mt lotw qso-graph-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

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