dynatrace-for-ai — security grade SAFE, quality 72/100

Security audit verdict: SAFE · quality 72/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by Dynatrace · MCP Server · ★ 156

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is dynatrace-for-ai safe to install? View the security audit →

About dynatrace-for-ai

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

agent-skillsai-agentsclaude-codedevopsdqldynatracemcpobservability

Quick Facts

Stars156
Forks30
LanguageJavaScript
CategoryMCP Server
LicenseApache-2.0
Quality Score71.7787428306084/100
Open Issues11
Last Updated2026-09-17
Created2026-03-31
Platformsclaude-code, mcp, node
Est. Tokens~14k

Compatible Skills

These tools work well together with dynatrace-for-ai for enhanced workflows:

  • ai-agent-skills — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (59%)
  • skills — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • claude-code-workflows — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • agent-skills — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)

dynatrace-for-ai alternative? Top 6 similar tools

Looking for a dynatrace-for-ai alternative? If you're comparing dynatrace-for-ai with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • claude-code-skills by levnikolaevich · ⭐ 564

    Help your AI agent finish the job: solve the right problem, keep changes focused, and show what was verified.

  • agent-designer by appautomaton · ⭐ 130

    Portable SKILLs workspace for Claude Code, Codex, and Gemini — issue-driven workflows and cross-agent collabor

  • cc-skills by terrylica · ⭐ 74

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  • comfyui-mcp by artokun · ⭐ 745

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  • vestige by samvallad33 · ⭐ 628

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  • mcp-ssh-manager by bvisible · ⭐ 467

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Frequently Asked Questions

What is dynatrace-for-ai?

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 156 GitHub stars.

What programming language is dynatrace-for-ai written in?

dynatrace-for-ai is primarily written in JavaScript. It covers topics such as agent-skills, ai-agents, claude-code.

How do I install or use dynatrace-for-ai?

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 156 stars and 30 forks, indicating an active community.

What license does dynatrace-for-ai use?

dynatrace-for-ai is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to dynatrace-for-ai?

The top alternatives to dynatrace-for-ai on Agent Skills Hub include claude-code-skills, agent-designer, cc-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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