by Dynatrace · MCP Server · ★ 93
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Dynatrace for AI Everything AI agents need to work with Dynatrace, starting with skills. Skills are portable knowledge packages following the Agent Skills open format. They give AI coding agents the domain-specific context to query, analyze, and interpret Dynatrace data. They work with Claude Code, GitHub Copilot, Cursor, OpenCode, Gemini CLI, and 30+ other compatible tools. Installation Skills Package (skills.sh) Works with Claude Code, Cursor, Cline, GitHub Copilot, OpenCode, and other compatible agents. Claude Code Plugin Update with . Manual Copy skill directories into your agent's skills path (, , , etc.). Connecting to Dynatrace Skills provide knowledge only. To run live queries and manage your environment, pair them with a tool. Dynatrace CLI (dtctl) dtctl is a kubectl-style CLI for the Dynatrace platform. It ships with its own Agent Skill that teaches agents how to operate it. bash brew install dynatrace-o
| Stars | 93 |
| Forks | 19 |
| Language | Shell |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 70.686373775798/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-16 |
| Created | 2026-03-31 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~12k |
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dynatrace-for-ai is Skills, prompts, and instructions for building AI agents on top of Dynatrace production context. It is categorized as a MCP Server with 93 GitHub stars.
dynatrace-for-ai is primarily written in Shell. It covers topics such as agent-skills, ai-agents, claude-code.
You can find installation instructions and usage details in the dynatrace-for-ai GitHub repository at github.com/Dynatrace/dynatrace-for-ai. The project has 93 stars and 19 forks, indicating an active community.
dynatrace-for-ai is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to dynatrace-for-ai on Agent Skills Hub include agent-skills, agent-skills, agent-designer. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.