# Spotify Server

> Use this tool when you need to access and interact with Spotify's vast music catalog, solving problems such as music discovery and playlist management. It takes in inputs like track, album, or artist queries and outputs relevant music data, allowing for seamless integration into various applications. Use it in contexts where music streaming and catalog access are required, such as music-based projects or entertainment platforms.

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

## Description

Access Spotify's music catalog and interact with tracks, albums, and artists.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/superseoworld/mcp-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": "superseoworld-mcp-spotify"
    }
  }
}
```

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