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Spotify Bulk Actions MCP Server

@khglynn

代码仓库

基本信息

分类

媒体与设计

传输方式

stdio

作者

khglynn

提交者

Kevin HG

关于 Spotify Bulk Actions MCP Server

Bulk Spotify operations with confidence scoring - batch playlist creation, library exports, and human-in-the-loop review for uncertain matches. Perfect for importing podcast song lists.

#spotify#playlist#bulk#music#podcast#library#export

Spotify Bulk Actions MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "spotify-bulk-actions-mcp": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Spotify Bulk Actions MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Spotify Bulk Actions Mcp?

An MCP server for bulk Spotify operations: batch playlist creation, library exports, and large-scale library management. It features confidence scoring for batch searches, human-in-the-loop review, and built‑in rate limiting. Designed for importing song lists from podcast show notes.

How to use Spotify Bulk Actions Mcp?

Requires Python 3.10+, a Spotify Developer application, and one‑time authentication via setup_auth.py. After setup, connect the server to Claude Code by adding its configuration to ~/.claude/settings.local.json. The server exposes 18 tools covering library analysis, search, playlist management, and utilities.

Key features of Spotify Bulk Actions Mcp

  • Confidence scoring for batch searches (HIGH / MEDIUM / LOW)
  • Human‑in‑the‑loop review for uncertain matches
  • Bulk operations handling 500+ songs with automatic rate limiting
  • Library exports of saved tracks, followed artists, and summary
  • Podcast‑playlist‑focused import pipeline from CSVs
  • Automatic retry and caching to reduce repeat API calls

Use cases of Spotify Bulk Actions Mcp

  • Create playlists from song lists (CSV) with automated matching
  • Export and analyze your saved library (up to 10,000 songs)
  • Find albums where you have 6+ saved songs (e.g., for vinyl shopping)
  • Import large episode song lists from podcasts (500+ songs)
  • Review and correct uncertain song matches via spreadsheet export

常见问题

1

What makes this different from other Spotify MCPs?

It provides confidence scoring, human‑in‑the‑loop uncertain‑match review, bulk operations for 500+ songs, library exports, and is built specifically for podcast playlists.

2

What are the prerequisites?

Python 3.10+, a Spotify account, and Spotify Developer credentials obtained from the Spotify Developer Dashboard.

3

How does authentication work?

One‑time browser login via `setup_auth.py`; the token is saved locally in `.spotify_cache/` and auto‑refreshed when expired.

4

Does it handle Spotify’s rate limits?

Yes, with small delays between API calls, automatic retry on 429 errors, and caching to avoid redundant requests.

5

Where are credentials and data stored?

Credentials go in `.env` (gitignored). Auth tokens and cached data are stored in `.spotify_cache/` (gitignored). No data is sent externally.

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