39 AI tools for Prometheus
Build a reliable DevOps pipeline with GitLab, Cloudflare, Sentry, and Grafana for automated code delivery and monitoring.
Autonomous Deployment Engineer designs, implements, and optimizes deployment pipelines, containerization strategies, and infrastructure automation for reliable
Expert agent for Prometheus Alertmanager routing rules, suppression, and multi-channel notification configuration with label-based matching and time-based
Design and run chaos engineering experiments to test and improve system resilience. Improve reliability with controlled failure testing.
A reusable Claude skill from the VibeBaza open-source library, which provides templates and examples for creating custom skills, agents, prompts, and MCP
Configure encryption at rest for databases, cloud services, and file systems using AES-256 and secure key management.
Configure and optimize feature stores for ML platforms like Feast, Tecton, SageMaker, and Databricks. Design feature definitions, data sources, and streaming
Expert setup for Jaeger distributed tracing, including Kubernetes, OpenTelemetry integration, and production deployments.
Configure Kubernetes autoscaling (HPA, VPA, Cluster Autoscaler) for efficient resource management and application stability.
Expert skill for generating production-ready Kubernetes YAML manifests with security best practices, resource limits, health checks, and operational excellence
Generate production-ready Prometheus configurations for monitoring, including scrape configs, alerting, and service discovery.
Grafana MCP server provides AI access to Grafana dashboards, datasources, and metrics. Query data and manage dashboards.
Prometheus MCP Server: LLMs query and analyze Prometheus metrics, manage configurations, and access full monitoring via API.
Prometheus MCP Server for TypeScript: Query metrics, discover data, and analyze system performance.
Run any MCP server securely, instantly, anywhere. ToolHive isolates MCP servers in containers, enforces policy, and provides observability for production use.
gx-mcp-server: AI-powered Great Expectations data quality validation. Load data, define rules, execute checks via MCP.
Connect AI to Prometheus metrics and PromQL queries for monitoring data analysis. Execute queries and explore metrics.
