# Decent Sampler Drums

> Use this tool when you need to generate custom DecentSampler drum kit configurations, analyze WAV samples, or create flexible velocity layers for virtual instrument development. It solves problems related to sample library management and drum kit design, providing XML-based configurations as output. Ideal for music producers, sound designers, and AI assistants, this tool streamlines the process of creating custom virtual instruments by connecting AI models with DecentSampler's preset creation process.

Canonical page: https://skillsregistry.net/skills/dandeliongold-decent-sampler-drums  
JSON: https://api.skillsregistry.net/v1/skills/dandeliongold-decent-sampler-drums

## Description

This MCP server, developed by dandeliongold, provides tools for generating DecentSampler drum kit configurations. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers functionality for analyzing WAV samples and generating XML-based drum group configurations. The implementation focuses on creating flexible velocity layers, handling sample path mapping, and configuring muting groups. By connecting AI models with DecentSampler's preset creation process, this server enables sophisticated drum kit design scenarios, enhancing the ability to create custom virtual instruments. It's particularly useful for music producers, sound designers, and AI assistants involved in virtual instrument development and sample library management.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dandeliongold-decent-sampler-drums)
- **Repository:** <https://github.com/dandeliongold/mcp-decent-sampler-drums>

## 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": "dandeliongold-decent-sampler-drums"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dandeliongold-decent-sampler-drums` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dandeliongold-decent-sampler-drums/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