# SpotifyMCP

> Use this tool when you need to create and manage Spotify playlists using natural language inputs, solving the problem of tedious manual playlist curation and discovery. It takes in voice or text commands as input and outputs curated playlists, allowing for seamless music discovery and organization. Ideal for music enthusiasts and users seeking effortless playlist management.

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

## Description

Enables creating and searching Spotify playlists through natural language using the Model Context Protocol.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qpou20bu2y)
- **Repository:** <https://github.com/carllapierre/spotify-mcp>

## 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": "carllapierre-spotify-mcp"
    }
  }
}
```

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

---
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