Is this tool compatible with Dynatrace SaaS?

No, this server is exclusively for Dynatrace Managed (self-hosted) deployments. For Dynatrace SaaS environments, a separate Dynatrace MCP is available.

What types of data can I query using natural language?

You can query Dynatrace problems, entities, performance metrics, logs, security insights, and more, all using natural language prompts, leveraging V2 REST APIs.

What are the deployment modes for Dynatrace Managed MCP?

It supports two operational modes: Local mode for development and testing on your machine, and Remote mode for distributed or production-like setups via HTTP/SSE.

What is Dynatrace Managed MCP Server?

The Dynatrace Managed MCP server integrates AI Assistants with self-hosted Dynatrace Managed environments, delivering observability data directly into AI-assisted workflows for development and operations.

What AI Assistants are supported?

It integrates with leading AI Assistants like VSCode, Claude, Cursor, Kiro, Windsurf, ChatGPT, GitHub Copilot, and Google Gemini CLI.

Dynatrace Managed

Name: Dynatrace Managed
Author: dynatrace-oss

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Integrates AI Assistants with self-hosted Dynatrace Managed environments to bring observability data directly into AI-assisted workflows.

Dynatrace Managed

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Integrates AI Assistants with self-hosted Dynatrace Managed environments to bring observability data directly into AI-assisted workflows.

The Dynatrace Managed tool enables AI Assistants to seamlessly connect with self-hosted Dynatrace Managed deployments, providing access to critical observability data. It supports both local development and remote production setups, allowing for real-time fetching of production data, contextual debugging, and comprehensive security insights. This integration facilitates natural language queries for problems, entities, logs, and metrics, enhancing systematic incident investigation and proactive monitoring within AI-assisted environments like VSCode, Claude, and Google Gemini CLI.

主な機能

01Detailed security insights and vulnerability analysis

02Supports local and remote operational modes

03Contextual debugging with monitored exceptions, logs, and anomalies

04Real-time observability data access from Dynatrace Managed

053 GitHub stars

06Natural language querying of Dynatrace problems, entities, and metrics

ユースケース

01Accessing historical monitoring data after migration to Dynatrace SaaS

02Automating real-time incident investigation and troubleshooting with AI

03Integrating Dynatrace observability data into AI-assisted developer workflows