# Spotify

> Use this tool when you need to access and manage music content, create personalized playlists, or control music playback. It solves problems such as music discovery, playlist management, and playback control, and accepts inputs like search queries, playlist IDs, and device IDs, producing outputs like track lists, playlist metadata, and playback status. Ideal for use cases like music streaming, recommendation systems, and audio entertainment applications.

Canonical page: https://skillsregistry.net/skills/arjunkmrm-spotify  
JSON: https://api.skillsregistry.net/v1/skills/arjunkmrm-spotify

## Description

Spotify Web API. Browse music, manage playlists, control playback, and explore listening history.

## 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:** media
- **Updated:** 2026-05-11

## Source

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

## 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": "arjunkmrm-spotify"
    }
  }
}
```

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