# Audioscrape

> Use this tool when you need to efficiently search and discover audio content, such as finding specific audio tracks or browsing sound libraries. Audioscrape solves problems related to audio research and acquisition, providing access to extensive audio metadata. It takes in search queries as input and outputs relevant audio tracks and metadata, making it ideal for use cases like music production, video editing, and podcast creation.

Canonical page: https://skillsregistry.net/skills/audioscrape  
JSON: https://api.skillsregistry.net/v1/skills/audioscrape

## Description

Audio content search and discovery. Find audio tracks, search sound libraries, and browse audio metadata.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/audioscrape)

## 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": "audioscrape"
    }
  }
}
```

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