# MCP Spotify Server

> Use this tool when you need to control Spotify functionality through natural language commands, solving problems like music discovery and playback management. It takes in natural language inputs and outputs music search results, playback controls, and device management options, all authenticated through OAuth2. Ideal for use cases requiring voice or text-based interaction with Spotify, such as smart home devices or virtual assistants.

Canonical page: https://skillsregistry.net/skills/fborello-mcpspotify  
JSON: https://api.skillsregistry.net/v1/skills/fborello-mcpspotify

## Description

Enables interaction with Spotify through LLMs using OAuth2 authentication. Supports music search, playback control, playlist management, and device management through natural language commands.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lgk91q7qhe)
- **Repository:** <https://github.com/fborello/MCPSpotify>

## 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": "fborello-mcpspotify"
    }
  }
}
```

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