# spotify-mcp-ts

> Use this tool when you need to manage and automate Spotify-related tasks, solving problems such as playlist management and music discovery. It takes input from git repositories and outputs customized Spotify experiences. Use it in contexts where you want to streamline your music workflow, such as creating personalized playlists or syncing music libraries.

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

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/argotdev/spotify-mcp-ts)
- **Repository:** <https://github.com/argotdev/spotify-mcp-ts>

## 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": "argotdev-spotify-mcp-ts"
    }
  }
}
```

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