# Dynatrace Support

> Use this tool when you need to streamline Dynatrace support workflows and improve response times. It provides a suite of seven tools to classify customer concerns, assess case severity, draft bug escalations, and generate customer responses, with capabilities for knowledge search and investigation planning. Ideal for support teams working with Dynatrace, it accepts customer inquiry inputs and outputs tailored responses and support plans.

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

## Description

Provides seven tools for Dynatrace support workflows: knowledge search across documentation and community forums, page reading, customer concern classification, case triage with severity assessment, bug escalation drafting, customer response generation, and investigation planning. Caches knowledge locally for offline use.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nitingramesh-dynatrace-support)
- **Repository:** <https://github.com/nitingramesh/dynatrace-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": "nitingramesh-dynatrace-support"
    }
  }
}
```

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

---
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