39 AI tools for Prometheus
Claude skill bundle wiring a GitLab CI/CD pipeline from lint through test, Docker build and deploy, with Sentry, Grafana and Cloudflare monitoring built in.
An autonomous agent that designs a complete deployment package: CI/CD pipeline, containers, Kubernetes resources, and infrastructure code.
Skill for Prometheus Alertmanager routing, inhibition, escalation, and multi-channel notification configuration.
An uptime monitoring skill for health check design, Prometheus/Grafana alerting, circuit-breaker health reporting, and multi-channel alerts.
Skill for building CDC-based real-time monitoring, metrics, and alerting for database migrations.
Orchestrates 7 specialized agents across 4 phases to build a production MLOps pipeline from data to monitoring.
Complete Prometheus guide - scrape configuration, service discovery, recording rules, and alert rules.
A 5-phase multi-agent incident-response workflow from detection to blameless postmortem.
Designs production observability systems: monitoring, distributed tracing, log management, SLIs/SLOs, and alerting.
Configures production-ready Jaeger distributed tracing: Kubernetes deployment, storage backends, sampling, and OpenTelemetry.
Expert guidance for configuring Kubernetes HPA, VPA, and Cluster Autoscaler with production-ready YAML examples, scaling policies, and multi-tier optimization
Open source platform to run any MCP server securely in isolated containers, with policy, auth, and observability.
Go MCP server for Grafana: search and edit dashboards, query Prometheus, Loki and SQL datasources, manage alerts, incidents and OnCall from an AI client.
An MCP server for querying and investigating a live Prometheus instance via its real API.
Prometheus MCP server gives AI assistants 6 tools to run PromQL queries, discover metrics, check scrape targets, and inspect metric metadata.
Query Prometheus metrics via natural language - instant/range queries, discovery, metadata, and target health, TypeScript-based.
An MCP server exposing Great Expectations data-quality validation for CSV, Snowflake, and BigQuery datasets.
