#logging

Cross-cloud observability for AI agents. Discover resources, correlate logs, and diagnose infrastructure issues across AWS, GCP, Vercel, and Cloudflare — without leaving your editor.

Every agent action is recorded in a SHA-256 hash chain. With this, you can actually prove to clients that your agent did what it said it did. Record, query, verify, and export agent activity.

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.

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.

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.

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.

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

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.

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