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
基本情報
A Model Context Protocol (MCP) server that enables AI agents to create and manage music playlists through context-aware API endpoints.
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
🎧 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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