# mcp-deezer

> Use this tool when you need to integrate music management capabilities into your AI workflow, allowing you to search, manage playlists, and discover music using a free Deezer account. It solves problems related to music discovery, playlist management, and favorites tracking, providing a seamless interface for AI agents to interact with Deezer's music library. With inputs such as search queries and playlist IDs, it outputs relevant music results, playlist data, and favorites lists.

Canonical page: https://skillsregistry.net/skills/benitoow-mcp-deezer  
JSON: https://api.skillsregistry.net/v1/skills/benitoow-mcp-deezer

## Description

Deezer MCP server for AI agents to search, manage playlists, favorites, and discover music using a free Deezer account.

## 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/tg4k9dds17)
- **Repository:** <https://github.com/Benitoow/mcp-deezer>

## 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": "benitoow-mcp-deezer"
    }
  }
}
```

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