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.
A multi-agent MCP server that turns LLMs into an autonomous incident-response copilot, enabling rapid investigation, correlation, and remediation of production incidents.
An incident management MCP server for on-call engineers, providing tools to search incidents, review deploys, query logs, analyze latency metrics, and acknowledge or summarize incidents.
A security-focused MCP server that enables automated log retrieval and threat analysis using LangGraph orchestration and RAG. It allows users to detect suspicious activity and generate structured security insights by integrating LLM reasoning with log data and runbook documentation.
MCP server for semantic log ingestion, hybrid retrieval, and cleanup, enabling natural-language querying of log files with dense+BM25 retrieval and full provenance.
