"Dynatrace" matching MCP servers:

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.

A powerful Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to Dynatrace's observability platform. Features dual authentication architecture, Davis CoPilot AI integration, and 24 specialized tools for monitoring, automation, and operational intelligence.

A remote MCP server that enables real-time interaction with the Dynatrace observability platform, bringing production-level monitoring data directly into development workflows.

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 LLM agents to query Dynatrace SaaS for observability data (logs, metrics, traces, entities, problems, vulnerabilities) and manage configurations (dashboards, notebooks, SLOs, synthetic monitors, settings).

Provides an MCP server to interact with Dynatrace platform tools, including DQL queries, documents, workflows, SLOs, settings, and entities, enabling management through natural language.