# spotify_mcp

> spotify_mcp — peterakande-spotify-mcp. Use this tool when you need to streamline Spotify operations with a comprehensive set of production-ready tools. It solves problems related to music streaming and management by providing a unified interface for various tasks, accepting inputs such as API requests and git commands, and outputting relevant data and updates. Ideal for use cases requiring efficient music management and automation, such as playlist curation and content synchronization.

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

## Description

A comprehensive Model Context Protocol (MCP) server for Spotify operations with 36 production-ready tools and FastMCP transport.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/PeterAkande/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": "peterakande-spotify-mcp"
    }
  }
}
```

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