Skip to main content
Glama
qso-graph

lotw-mcp

by qso-graph

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
LOTW_MCP_MOCKNoSet to '1' to enable mock mode for testing without real credentials.

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_version_infoA

Get lotw-mcp service version and upstream LoTW schema version.

Returns the running PyPI version of lotw-mcp and the ARRL LoTW ADIF/CSV export schema in use. Use this to confirm fleet alignment across MCP deployments — agents can compare service_version and spec_version across servers to detect drift without going outside the MCP protocol.

Returns: service_name, service_version (PyPI), and spec_version (LoTW schema).

lotw_confirmationsC

Query confirmed QSL records from LoTW.

lotw_qsosC

Query all uploaded QSOs from LoTW (confirmed and unconfirmed).

lotw_dxcc_creditsC

Query DXCC award credits from LoTW confirmations.

lotw_downloadA

Download your complete LoTW log as raw ADIF text.

Returns the .adi file content — save to disk for import into your logger. Set qsl_only=True for confirmed QSLs only. Omit 'since' for full history. Warning: large logs may take 30-60 seconds (LoTW is slow).

lotw_user_activityA

Check if a callsign uses LoTW and when they last uploaded.

Public endpoint — no authentication required. Uses a locally cached copy of the LoTW user activity CSV (refreshed weekly).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/qso-graph/lotw-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server