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.
@m4dd0c
基本信息
A Model Context Protocol (MCP) server that enables AI agents to create and manage music playlists through context-aware API endpoints.
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。
🎧 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.
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.
.m3u playlists from local music files.mutagen for metadata extraction (genre, title, artist).uv async web server.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.
Python with the `uv` and `mutagen` packages installed. The server runs as a Uvicorn ASGI application.
The user specifies the save directory in their request. No default fallback is documented.
The README only mentions reading metadata with `mutagen` and creating `.m3u` playlists. It does not list specific audio file formats.
The server uses HTTP (Uvicorn). No authentication mechanism is described.
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