Dynatrace is a software intelligence company that provides AI-powered observability and application security for hybrid cloud environments, helping organizations automate cloud operations, innovate faster, and deliver secure digital services with confidence.
Enables interaction with self-hosted Dynatrace Managed environments to fetch and analyze observability data, including problems, security vulnerabilities, monitored entities, Service Level Objectives (SLOs), system events, logs, and performance metrics.
Enables AI assistants to interact with self-hosted Dynatrace Managed environments to retrieve observability data, security insights, and performance metrics. It allows users to query problems, logs, events, and SLOs through natural language interfaces in both local and remote modes.
Enables AI agents to scan text for leaked secrets and prompt injection markers, and redact them before reaching an LLM.
2
1
MIT
Why this server?
Provides read-only access to Dynatrace logs, problems, events, entities, metrics, security problems, and SLOs, plus root-cause analysis and service-debugging tools for Dynatrace Managed and SaaS environments.
Enables Cursor's agent to query Dynatrace Managed and SaaS through the classic API v2 using API-token authentication, with read-only-by-default tools for logs, problems, events, entities, metrics, security problems, and SLOs. It also provides composite root-cause-analysis and service-debugging workflows, with optional opt-in write and Grail DQL tools.
23
MIT
Why this server?
Provides tools to pull live Dynatrace problems and correlate Davis AI alerts with Kubernetes events, and to retrieve entity health and metadata. It also ships OpenTelemetry traces, metrics, and logs to Dynatrace for self-monitoring via OTLP.
An MCP server that gives AI assistants direct access to Kubernetes clusters for pod management and network debugging (DNS, NetworkPolicy, ingress, service mesh) and correlates Dynatrace observability with OpenTelemetry self-monitoring, which automatically ships traces, metrics, and logs to Dynatrace.
19
MIT
Why this server?
Supports including Dynatrace as a component in architecture diagrams.
Generates Excalidraw architecture diagrams with support for 60+ components including GCP, Kafka, and AI/Agentic shapes. Provides MCP tools for creating, modifying, and converting diagrams from structured input or Mermaid syntax.
4
1
MIT
Why this server?
Provides tools for observability and configuration management for Dynatrace SaaS, including DQL queries, logs, spans, metrics, entities, problems, vulnerabilities, settings, dashboards, notebooks, SLOs, and synthetic monitors.
Enables LLM agents to query Dynatrace SaaS for observability data (logs, metrics, traces, entities, problems, vulnerabilities) and manage configurations (dashboards, notebooks, SLOs, synthetic monitors, settings).
100
MIT
Why this server?
Allows AI assistants to query Dynatrace Managed observability data such as services, traces, metrics, pods, and problems through a logged-in browser session, using read-only GET requests to a fixed set of Dynatrace routes.
Lets AI assistants query Dynatrace Managed environments — services, traces, metrics, pods, and problems — by running read-only GET requests through your already logged-in browser session, so no API tokens are needed. All traffic stays on your machine between the AI client, a local server, and a browser extension.
39
MIT
Why this server?
Allows interaction with any Dynatrace SaaS/Grail tenant, providing tools for Kubernetes pod status and events, bounded log search, Davis problem triage, metrics queries, security and vulnerability summaries, entity lookup, and raw DQL execution.
Enables agents to inspect Kubernetes cluster, node, and pod status, run bounded log searches with surrounding context, triage Davis problems and alerts, query metrics and traces, and review security and compliance summaries. It runs locally over stdio against any Dynatrace SaaS/Grail tenant using configurable connections and filters rather than hardcoded scopes.
38
19 npm
MIT
Why this server?
Enables real-time observability data access from Dynatrace, allowing users to fetch problem details, security vulnerabilities, execute DQL queries, retrieve logs and metrics, analyze Kubernetes cluster events, and set up notifications via Slack and Dynatrace AutomationEngine.
A remote MCP server that enables real-time interaction with the Dynatrace observability platform, bringing production-level monitoring data directly into development workflows.
