# Spotify

> Use this tool when you need to manage music playlists, discover similar artists and tracks, or control music playback. It solves problems related to music search, playlist management, and discovery, providing inputs such as search queries and outputs like playlist recommendations. Ideal for use cases where integrated music services like Spotify and Last.fm are required, with a Python client for remote communication.

Canonical page: https://skillsregistry.net/skills/jamiesonchase2-spotify  
JSON: https://api.skillsregistry.net/v1/skills/jamiesonchase2-spotify

## Description

FastMCP-based server exposing Spotify Web API and Last.fm tools for music search, playlist management, playback control, and artist/track similarity discovery. Designed for Azure Container Apps deployment with Terraform infrastructure-as-code, managed identity, and Key Vault secret management. Includes a Python MCP client for remote communication with the deployed server.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jamiesonchase2-spotify)
- **Repository:** <https://github.com/jamiesonchase2/spotify-mcp-azure-terraform>

## 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": "jamiesonchase2-spotify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jamiesonchase2-spotify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jamiesonchase2-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
