SigNoz

Integrates with SigNoz observability platform to provide dashboard management, custom metrics querying with PromQL support, and APM metrics collection for performance analysis and troubleshooting workflows.

This MCP server provides AI assistants with comprehensive access to SigNoz observability data through a Flask-based implementation built by Doctor Droid that supports both HTTP and STDIO transport modes. The implementation offers six core tools including connection testing, dashboard management (listing and fetching detailed panel data), custom metrics querying with PromQL support, and standardized APM metrics collection (request rate, error rate, latency) with hardcoded builder query templates that match SigNoz's frontend behavior. Built with Docker containerization, configurable SSL verification, and intelligent timestamp handling that defaults to 3-hour lookbacks, it serves DevOps teams needing AI-powered observability analysis, SREs requiring automated dashboard data extraction and incident investigation, and organizations wanting to integrate SigNoz monitoring data into conversational workflows for performance analysis and troubleshooting.