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Routes Datadog anomaly detection alerts to appropriate response channels using the Datadog Events API v2 and Monitors API. Applies severity-based escalation rules with PagerDuty and Slack webhook integration.
Validates and tests Prometheus alerting rules against historical metrics data using the Prometheus HTTP API /api/v1/query_range endpoint. Runs rule simulations with configurable time windows and threshold testing.
Exports Grafana dashboards as shareable snapshots using the Grafana HTTP API /api/snapshots endpoint. Captures panel data at point-in-time with configurable expiration and external sharing via snapshot keys.
Designs OpenTelemetry Collector pipeline configurations with receivers (otlp, prometheus, filelog), processors (batch, attributes, tail_sampling), and exporters (otlphttp, jaeger, elasticsearch).
Builds Grafana dashboards programmatically using grafonnet-lib (Jsonnet) and the Grafana HTTP API. Generates panel JSON for time series, stat, table, and heatmap visualizations with PromQL/LogQL queries.
Generates Prometheus AlertManager configurations with routing trees, inhibition rules, and receiver integrations for PagerDuty, Slack, and OpsGenie APIs. Supports template-based notification customization.
Creates Datadog monitor definitions using the Datadog API v2 with metric, log, APM trace, and composite monitor types. Generates Terraform datadog_monitor resources with threshold and anomaly detection.
Manages PagerDuty incident lifecycle using the PagerDuty REST API v2 /incidents endpoint. Automates escalation policies, merges related incidents, and generates postmortem templates from incident timelines.
Generates Grafana dashboard JSON using the Grafana HTTP API /api/dashboards/db endpoint. Creates panels with Prometheus, InfluxDB, and Elasticsearch datasource queries pre-configured for common infrastructure metrics.
Loki Log Query Agent is built around Grafana Loki log aggregation system. The underlying ecosystem is represented by grafana/loki (27,858+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like LogQL, labels, streams, tailing, retention, query frontend and preserving […]
Jaeger Trace Explorer is built around Jaeger distributed tracing platform. The underlying ecosystem is represented by jaegertracing/jaeger (22,608+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like trace search, spans, service graph, latency timelines, baggage, sampling and preserving […]
Prometheus Alerting Rules is built around Prometheus metrics and alerting system. The underlying ecosystem is represented by prometheus/prometheus (63,278+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like PromQL, recording rules, alert rules, targets, range queries, TSDB and […]
Kubernetes Troubleshooting Runbook is built around Kubernetes orchestration platform. The underlying ecosystem is represented by kubernetes/kubernetes (121,313+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like kubectl, API server, pods, deployments, events, logs, probes, RBAC and preserving the […]
Metrics Dashboard Builder is built around Datadog observability platform. The underlying ecosystem is represented by DataDog/dd-trace-js (787+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like metrics API, monitors, logs, dashboards, traces, incidents and preserving the operational context […]
Prometheus / Grafana MCP Server is built around Grafana visualization and alerting platform. The underlying ecosystem is represented by grafana/grafana (72,784+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like dashboards API, panels, Loki/Prometheus datasources, alerting, rendered images […]
Elastic / Kibana MCP Server is built around Elasticsearch search and analytics engine. The underlying ecosystem is represented by elastic/elasticsearch (76,387+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like Query DSL, aggregations, indices, shards, mappings, cluster health […]
OpsGenie MCP Server is built around Opsgenie incident and on-call platform. The underlying ecosystem is represented by opsgenie/opsgenie-nodejs-sdk (24+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like alerts, schedules, teams, escalation policies, notes, integrations and preserving the […]
PagerDuty MCP Server is built around PagerDuty incident response platform. The underlying ecosystem is represented by PagerDuty/pdjs (69+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like incidents, escalation policies, schedules, services, responders, analytics and preserving the operational […]
Datadog MCP Server is built around Datadog observability platform. The underlying ecosystem is represented by DataDog/dd-trace-js (787+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like metrics API, monitors, logs, dashboards, traces, incidents and preserving the operational context […]
Surface Sentry errors, traces, and performance data inside your AI coding workflow.