# Spotify MCP Server

> Use this tool when you need to control and interact with Spotify's music library, solving problems such as music discovery and playback management. It provides an interface for searching and retrieving content, as well as controlling playback, taking in user input and outputting relevant music data. Ideal for use cases where seamless music integration is required, such as voice assistants or music streaming applications.

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

## Description

Provides tools for searching, controlling playback, and retrieving content from the Spotify Web API.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hocfyxakgs)
- **Repository:** <https://github.com/sespinosa/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": "sespinosa-spotify-mcp"
    }
  }
}
```

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