Dynatrace Managed MCP Server▌
by dynatrace-oss
Dynatrace Managed MCP Server delivers AI-driven access to self-hosted monitoring and observability platform, AIOps insig
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.
best for
- / Site reliability engineers debugging issues
- / DevOps teams monitoring application performance
- / Organizations using self-hosted Dynatrace deployments
capabilities
- / Query performance metrics and SLOs
- / Retrieve problem reports and incidents
- / Access application logs and events
- / Get security insights from Dynatrace data
- / Monitor service health status
what it does
Connects AI assistants to self-hosted Dynatrace environments to query observability data, problems, logs, and performance metrics through natural language.
about
Dynatrace Managed MCP Server is an official MCP server published by dynatrace-oss that provides AI assistants with tools and capabilities via the Model Context Protocol. Dynatrace Managed MCP Server delivers AI-driven access to self-hosted monitoring and observability platform, AIOps insig It is categorized under auth security, developer tools.
how to install
You can install Dynatrace Managed MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
Dynatrace Managed MCP Server is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Dynatrace Managed MCP Server delivers AI-driven access to self-hosted monitoring and observability platform, AIOps insig
TL;DR: Connects AI assistants to self-hosted Dynatrace environments to query observability data, problems, logs, and performance metrics through natural language.
What it does
- Query performance metrics and SLOs
- Retrieve problem reports and incidents
- Access application logs and events
- Get security insights from Dynatrace data
- Monitor service health status
Best for
- Site reliability engineers debugging issues
- DevOps teams monitoring application performance
- Organizations using self-hosted Dynatrace deployments
Highlights
- Local and remote deployment modes
- Self-hosted Dynatrace only