Dynatrace MCP Server (Official)
Official Dynatrace MCP server enabling AI agents to interact with Dynatrace's AI-powered observability platform — querying metrics, problems, events, logs, and leveraging Davis AI insights for automated anomaly analysis.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
HTTPS enforced. Fine-grained API token scopes are best-in-class. FedRAMP, SOC 2, ISO 27001, HIPAA, PCI DSS. Enterprise observability security gold standard.
⚡ Reliability
Best When
An agent needs enterprise-grade observability with AI-driven root cause analysis — Dynatrace's Davis AI provides automated anomaly detection and causality.
Avoid When
You're using Datadog, New Relic, or another APM platform — use those integrations.
Use Cases
- • Querying Dynatrace problems and root cause analysis from incident agents
- • Accessing Davis AI anomaly detection insights for automated triage
- • Querying application and infrastructure metrics via DQL from agents
- • Reading Dynatrace log data for incident investigation
- • Checking synthetic monitoring test results from reliability agents
Not For
- • Teams using New Relic, Datadog, or other APM tools
- • Small teams not needing enterprise-grade AI observability
- • Open source alternative seekers (Dynatrace is proprietary/premium)
Interface
Authentication
API tokens with fine-grained permission scopes. OAuth 2.0 for platform automation. Token scopes control exactly which API endpoints are accessible.
Pricing
Premium enterprise pricing. No free tier. Dynatrace is one of the more expensive APM solutions.
Agent Metadata
Known Gotchas
- ⚠ Dynatrace environment ID required for all API calls — unique per tenant
- ⚠ DQL (Dynatrace Query Language) for metrics — different from Prometheus or NRQL
- ⚠ Managed vs SaaS deployments have different API endpoints
- ⚠ Davis AI problem IDs are volatile — use time range queries for persistent monitoring
- ⚠ Token scopes are granular but must be explicitly granted — easy to miss required scopes
- ⚠ Grail (new data lake) vs classic Dynatrace have different APIs
Alternatives
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Scores are editorial opinions as of 2026-03-07.