Dynatrace for AI MCP Server

This MCP server connects AI assistants to Dynatrace so they can query observability data and analyze problems. It provides “skills” that supply domain-specific context for working with Dynatrace. Skills are portable knowledge packages that follow the Agent Skills open format.

🛠️ Key Features

Connects AI assistants to Dynatrace
Enables querying observability data and analyzing problems
Provides Dynatrace-related skills in the Agent Skills format
Supports multiple AI coding agents, including Claude Code, GitHub Copilot, Cursor, OpenCode, and Gemini CLI

🚀 Use Cases

Query Dynatrace observability data from AI assistants
Analyze problems using Dynatrace data via AI agents
Provide Dynatrace domain context to coding agents through skills

⚡ Developer Benefits

Reusable, portable skills for Dynatrace domain knowledge
Compatibility with Agent Skills tooling and ecosystems
Multi-agent support (Claude Code, Copilot, Cursor, OpenCode, Gemini CLI, and 30+ other)

⚠️ Limitations

Documentation excerpt does not specify supported Dynatrace query languages or required configuration details

Dynatrace for AI

OpenSSF Scorecard

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)

bash

npx skills add dynatrace/dynatrace-for-ai

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

Claude Code Plugin

bash

claude plugin install dynatrace@claude-plugins-official

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

bash

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

Verify that it works via:

bash

claude mcp login plugin:dynatrace:dynatrace

Please consult the Dynatrace MCP server docs for a full list of scopes required for using the MCP Server with a Platform Token.

To update the plugin, use:

bash

claude plugin marketplace update
claude plugin update dynatrace@claude-plugins-official

Note: The bundled MCP server connects to your Dynatrace environment. See the Dynatrace Privacy Policy for details on data handling.

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.

bash

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.

The MCP server is remote — Dynatrace hosts it, so there is nothing to install. Releases are published to the official MCP registry as io.github.Dynatrace/dynatrace-for-ai, so MCP hosts that read the registry can add it by name.

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.
dt-obs-analytics	Analyze Dynatrace dashboards and notebooks with Davis analyzers: anomaly detection, novelty scoring, and metric correlation.
dt-obs-ext-monitors	Ingest third-party test and monitor results into Dynatrace Grail via the platform events ingest API.
dt-obs-genai	Analyze observability signals from GenAI applications: golden signals, LLM cost/token analytics, agent tool-call behavior, and evaluation results.
dt-obs-log-semantic-mapping	Suggest and validate semantic dictionary mappings for audit log integrations, using vendor log payloads or live ingested events.
dt-obs-network-devices	Analyze SNMP-monitored network devices (switches, routers, firewalls, load balancers): topology, interface metrics, and SNMP trap/syslog events.
dt-obs-network-flows	Analyze network flows from OneAgent, NetFlow/IPFIX/sFlow, and cloud VPC flow logs: top talkers, communication dependencies, and connection health.

Security

Skill	Description
dt-sec-insights	Query and analyze security data in `security.events`: Runtime Vulnerability Analytics, Runtime Application Protection, Automated Detections (MITRE ATT&CK), and Security Posture Management (KSPM/CSPM).
dt-sec-contextualization	Resolve security signals and IoC matches to runtime entities, and connect findings across topology levels through a shared runtime entity.
dt-sec-ioc-hunting	Hunt threat-intelligence indicators of compromise across logs and spans, producing a threat-exposure score.
dt-sec-semantic-mapping	Suggest and validate semantic dictionary mappings for new security integrations, using vendor API samples or live events.
dt-obs-compliance-assistant	Monitor and investigate EU DORA compliance posture: compliance score, Critical/Important Function (CIF) health, incident classification, and ICT risk inputs.

Instrumentation Setup

Skill	Description
dt-setup-oneagent	Reference for installing Dynatrace OneAgent across VMs, Kubernetes, AWS Lambda, Windows hosts, remote EC2 instances, and Azure VMs/VMSS.
dt-setup-android	Instrument an existing Android project (Kotlin or Java) with the Dynatrace Mobile Agent: Gradle plugin, agent config, and user privacy opt-in.
dt-setup-flutter	Integrate the Dynatrace Flutter Plugin: dependency setup, config, SDK bootstrap, navigation tracking, and verification.
dt-setup-ios	Set up the Dynatrace iOS SDK via Swift Package Manager: SPM dependency, Dynatrace.plist config, privacy opt-in, and Xcode build verification.
dt-setup-react-native	Integrate the Dynatrace React Native Plugin for bare React Native and Expo: dependency setup, dynatrace.config.js, Babel registration, navigation tracking, and verification.

Platform

Skill	Description
dt-app-dashboards	Create, modify, and analyze Dynatrace dashboards: tiles, layouts, variables, and visualizations.
dt-app-notebooks	Create, modify, and analyze Dynatrace notebooks: sections, DQL queries, and analytics workflows.
dt-js-runtime	Dynatrace server-side JavaScript runtime: function contract, runtime limits, Web APIs, Node.js modules, and the `@dynatrace-sdk/*` catalog.
dt-platform-costs	Query and analyze a Dynatrace tenant's actual billing and usage data with DQL: DPS consumption breakdown, cost-normalized spend ranking, chargeback/showback, cost drivers, and entity-level cost drill-down.

Migration

Skill	Description
dt-migration	Migrate classic entity-based DQL and topology navigation to Smartscape equivalents.

Prompts

Prompts are reusable task templates for common Dynatrace workflows. You can copy them from the /prompts/ directory and paste them directly into any AI chat. For VS Code/GitHub Copilot users, copy prompts into .github/prompts/ to use as slash commands (e.g. /troubleshoot-problem).

Each prompt references the relevant skills above — load those skills first for best results.

Prompt	Description
dt-daily-standup	Generate a daily standup report for one or more services.
dt-health-check	Check the health of a service in production.
dt-incident-response	Respond to an active production incident with triage, root cause, and a shareable report.
dt-investigate-error	Investigate recent errors using Davis Problems as the entry point (problems → logs → traces).
dt-performance-regression	Analyze whether a recent deployment caused a performance regression.
dt-troubleshoot-problem	Troubleshoot an existing Dynatrace problem with structured log and trace investigation.

How Skills Work

Skills follow the Agent Skills specification and use progressive disclosure:

Catalog - Agents load only name + description (~100 tokens per skill) to know what's available.
Instructions - When relevant, the full SKILL.md is loaded (<5000 tokens).
Resources - Detailed reference files in references/ are loaded on demand.

Install all skills without penalty. Agents only load what they need.

Contributing

Skill content (skills/) is maintained internally at Dynatrace and published here periodically. PRs that modify skill files will not be accepted — please open an issue instead to suggest changes. See CONTRIBUTING.md for details on what can be contributed directly.

License

Apache-2.0

Dynatrace

Dynatrace for AI MCP Server

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

Topics

Dynatrace for AI

Installation

Skills Package (skills.sh)

Claude Code Plugin

Manual

Connecting to Dynatrace

Dynatrace CLI (dtctl)

Dynatrace MCP Server

Skills

DQL & Query Language

Observability

Security

Instrumentation Setup

Platform

Migration

Prompts

How Skills Work

Contributing

License

Install

Remote endpoint

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