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MCP Playlist Generator

@m4dd0c

基本信息

分类

开发工具

许可证

GPL-3.0

传输方式

stdio

作者

m4dd0c

关于 MCP Playlist Generator

A Model Context Protocol (MCP) server that enables AI agents to create and manage music playlists through context-aware API endpoints.

#playlist-mcp#music-generator#mcp-server

MCP Playlist Generator 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

MCP Playlist Generator 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 🎧 MCP Playlist Generator?

🎧 MCP Playlist Generator is a Model Context Protocol server that works with Claude or any AI assistant supporting tool usage. It scans local music files, reads metadata with mutagen, and creates .m3u playlists on the user’s PC based on a requested mood or theme. The playlist is saved to a directory the user specifies.

How to use 🎧 MCP Playlist Generator?

Install Python dependencies with pip install uv mutagen, then clone the repo and run uvicorn mcp_server:app --reload. The server listens for requests; users ask their AI assistant (e.g., “make a happy vibe playlist”) and the assistant invokes the server tool. After creation, users should re-index their music app.

Key features of 🎧 MCP Playlist Generator

  • Generates .m3u playlists from local music files.
  • Filters songs by mood or theme using metadata.
  • Leverages mutagen for metadata extraction (genre, title, artist).
  • Saves playlist to a user‑specified directory.
  • Works with any LLM agent supporting tool calls.
  • Built with Python and the uv async web server.

Use cases of 🎧 MCP Playlist Generator

  • Create a “chill evening playlist” from your personal library.
  • Generate a “happy vibe” playlist on demand via a Claude prompt.
  • Automate mood‑based playlist creation without manual sorting.
  • Integrate with any AI assistant that can invoke MCP tools.

常见问题

1

How is this different from a regular playlist generator?

It runs locally on your machine, scanning your own music files, and is triggered by an AI assistant via the MCP protocol rather than using a web service or manual curation.

2

What runtime or dependencies are required?

Python with the `uv` and `mutagen` packages installed. The server runs as a Uvicorn ASGI application.

3

Where are playlists saved?

The user specifies the save directory in their request. No default fallback is documented.

4

Which audio formats are supported?

The README only mentions reading metadata with `mutagen` and creating `.m3u` playlists. It does not list specific audio file formats.

5

What transport or authentication does the server use?

The server uses HTTP (Uvicorn). No authentication mechanism is described.

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