# soundgrep

> Use this tool when you need to semantically search and analyze local audio samples, generate MIDI files, or separate audio stems. It solves problems related to music production, such as finding specific sounds or creating new music elements. The tool accepts descriptive text inputs and outputs relevant audio samples, MIDI files, or separated audio stems.

Canonical page: https://skillsregistry.net/skills/fnsmdehip-soundgrep  
JSON: https://api.skillsregistry.net/v1/skills/fnsmdehip-soundgrep

## Description

Enables semantic search of local audio samples by describing sounds, MIDI generation, stem separation, and other music production tools from Claude Desktop.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ly7odkdrsu)
- **Repository:** <https://github.com/fnsmdehip/soundgrep>

## 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": "fnsmdehip-soundgrep"
    }
  }
}
```

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