# Dynatrace Managed

> Use this tool when you need to integrate with self-hosted Dynatrace Managed environments to access observability data, solve monitoring and analytics problems, and leverage AI-driven insights. It provides inputs such as V2 REST APIs and outputs like problems, security vulnerabilities, and metrics, making it ideal for organizations seeking to optimize their on-premises Dynatrace deployments. Use it in contexts where local or remote data queries are required, supporting both stdio and HTTP/SSE deployment modes.

Canonical page: https://skillsregistry.net/skills/dynatrace-managed  
JSON: https://api.skillsregistry.net/v1/skills/dynatrace-managed

## Description

Enables AI assistants to interact with self-hosted Dynatrace Managed environments, providing access to observability data including problems, security vulnerabilities, entities, SLOs, events, logs, and metrics. Designed for organizations running Dynatrace Managed rather than SaaS, using V2 REST APIs for data queries. Supports both local (stdio) and remote (HTTP/SSE) deployment modes.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dynatrace-managed)
- **Repository:** <https://github.com/dynatrace-oss/dynatrace-managed-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dynatrace-managed"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dynatrace-managed` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dynatrace-managed/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt