Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Local system monitoring — CPU, memory, swap, disk, network, and process management. Find resource-hungry processes, diagnose performance issues, and kill processes via AI.
Socket.IO-style telemetry for MCP servers. Instrument a tool call with a few lines of mcp-telemetry-sdk, and telemetrysubscribe streams its live progress (steps, logs, cost, done) to any connected MCP client via notifications/progress — no polling, and a job started in one session can be watched from a completely different one.