#logging

BeeMCP: an unofficial Model Context Protocol (MCP) server that connects your Bee wearable lifelogger to AI via the Model Context Protocol

gcloud で Logging からログを取得する

adif-mcp gives AI agents safe, typed access to Amateur Radio logging data. It validates and parses ADIF records, searches the full ADIF 3.1.6 specification (fields, enumerations, data types), and provides geospatial utilities for Maidenhead locators. A plugin system supports service integrations for LoTW, eQSL, and QRZ.

A background server that logs your desktop activity, calculates your Actions Per Minute (APM), and provides a clean, anonymized timeline of your work on demand. It's designed to be a data source for personal analytics or AI assistants.

CLI tool to scaffold, run, and test MCP servers locally with Node.js or Python, integrated with Claude and OpenAI key injection and auto-link to Claude Desktop.

Comprehensive MCP server for WordPress management with 54 tools across posts, pages, media, users, comments, taxonomies, settings, and authentication.

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.

MCP server for eQSL.cc — download incoming eQSLs, verify QSOs, check AG status, and query upload history through any MCP-compatible AI assistant. Part of the qso-graph project. Depends on adif-mcp for persona and credential management.

AI-powered multi-platform content generation and publishing. Create posts, run automations, manage RSS feeds, and publish to Instagram, Facebook, LinkedIn, X, Telegram, Discord, WordPress, and 6 more platforms.