dynatrace

Dynatrace for AI

Everything AI agents need to work with Dynatrace, starting with skills.

Skills are portable knowledge packages following the Agent Skills open format. They give AI coding agents the domain-specific context to query, analyze, and interpret Dynatrace data. They work with Claude Code, GitHub Copilot, Cursor, OpenCode, Gemini CLI, and 30+ other compatible tools.

Installation

Skills Package (skills.sh)

npx skills add dynatrace/dynatrace-for-ai

Works with Claude Code, Cursor, Cline, GitHub Copilot, OpenCode, and other compatible agents.

Claude Code Plugin

claude plugin marketplace add dynatrace/dynatrace-for-ai
claude plugin install dynatrace@dynatrace-for-ai

The plugin includes the Dynatrace MCP server. Set these environment variables before starting Claude Code to connect it to your environment:

export DT_ENVIRONMENT=https://<env>.apps.dynatrace.com   # e.g. https://abc12345.apps.dynatrace.com
export DT_PLATFORM_TOKEN=<your-platform-token>

Update with claude plugin marketplace update && claude plugin update dynatrace@dynatrace-for-ai.

Manual

Copy skill directories into your agent's skills path (.agents/skills/, .claude/skills/, .cursor/skills/, etc.).

Connecting to Dynatrace

Skills provide knowledge only. To run live queries and manage your environment, pair them with a tool.

Dynatrace CLI (dtctl)

dtctl is a kubectl-style CLI for the Dynatrace platform. It ships with its own Agent Skill that teaches agents how to operate it.

brew install dynatrace-oss/tap/dtctl                        # Install
dtctl auth login --context my-env \
  --environment "https://<env>.apps.dynatrace.com"           # Authenticate
npx skills add dynatrace-oss/dtctl                           # Install the dtctl skill
dtctl doctor                                                 # Verify setup

Or install the dtctl skill with dtctl itself: dtctl skills install

Dynatrace MCP Server

The Dynatrace MCP server provides Dynatrace API access via MCP. The Claude Code plugin bundles the MCP server configuration automatically — just set DT_ENVIRONMENT and DT_PLATFORM_TOKEN as shown above. For other agents that support MCP natively, see the MCP server docs.

Skills

DQL & Query Language

Skill	Description
dt-dql-essentials	DQL syntax rules, common pitfalls, and query patterns. Load this before writing any DQL.

Observability

Skill	Description
dt-obs-services	Service RED metrics and runtime telemetry for .NET, Java, Node.js, Python, PHP, and Go.
dt-obs-frontends	Real User Monitoring, Web Vitals, user sessions, mobile crashes, and frontend errors.
dt-obs-tracing	Distributed traces, spans, service dependencies, and failure detection.
dt-obs-hosts	Host and process metrics: CPU, memory, disk, network, and containers.
dt-obs-kubernetes	Kubernetes clusters, pods, nodes, workloads, labels, and resource relationships.
dt-obs-aws	AWS resources: EC2, RDS, Lambda, ECS/EKS, VPC, load balancers, and cost optimization.
dt-obs-azure	Azure resources: VMs, VMSS, SQL Database, Storage, AKS, App Service, Functions, VNet, Event Hubs, Container Apps, and Key Vault.
dt-obs-gcp	GCP resources: Compute Engine, GKE, Cloud Run, Pub/Sub, VPC, DNS, IAM, and Secret Manager.
dt-obs-logs	Log queries, filtering, pattern analysis, and log correlation.
dt-obs-problems	Problem entities, root cause analysis, impact assessment, and problem correlation.
dt-obs-predictive-analytics	Time series forecasting, capacity saturation planning, and trend/anomaly detection across hosts, services, and infrastructure.
dt-alerting	End-to-end alerting lifecycle: anomaly detector setup, alert events in Grail, problem grouping, and workflow notification routing.

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