An MCP server for intelligent log analysis providing semantic search, error pattern clustering, and smart error detection. It enables users to process, vectorize, and query local logs to efficiently identify issues and generate AI-powered summaries.
Runtime feedback MCP server for AI coding agents. It watches dev server logs, parses errors, and exposes them as MCP tools so AI agents can instantly verify code changes.
MCP server that stream-parses NDJSON log files without loading them into memory — filter by pattern, detect error spikes via Z-score analysis, summarize severity timelines by time window.