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.
MCP server providing comprehensive Datadog observability access for AI assistants. Features grep-like log search, APM trace filtering with duration/status/error queries, smart sampling modes for token efficiency, and cross-correlation between logs, traces, and metrics.
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.