# Spotify

> Use this tool when you need to search and retrieve music information, such as tracks, artists, and albums, to access real-time Spotify data within the Claude Desktop environment. It solves problems of music discovery and information retrieval by providing a straightforward search mechanism. The tool takes user queries as input and outputs relevant Spotify content, making it ideal for music enthusiasts and developers looking to integrate music data into their applications.

Canonical page: https://skillsregistry.net/skills/husaink52-spotify  
JSON: https://api.skillsregistry.net/v1/skills/husaink52-spotify

## Description

Spotify MCP server that enables Claude to search and retrieve Spotify track, artist, and album information through a local Express.js server. Built with TypeScript, the implementation provides a straightforward search mechanism that allows users to query Spotify content directly within the Claude Desktop environment, leveraging the Spotify Web API for real-time music data retrieval.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/husaink52-spotify)
- **Repository:** <https://github.com/husaink52/mcp-spotify>

## 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": "husaink52-spotify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/husaink52-spotify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/husaink52-spotify/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