LLM Jukebox
Enables LLMs to search YouTube for music, download videos as MP3 files, and play audio with playback controls.
README
LLM Jukebox MCP Server
A Model Context Protocol (MCP) server that enables LLMs to search, download, and play YouTube music.
Features
- YouTube Music Search: Find music videos by artist, song title, album, or any search query
- Audio Download: Download and convert YouTube videos to high-quality MP3 files
- Audio Playback: Model can start and stop songs
- Async Operations: Non-blocking downloads and searches with progress tracking
- Logging: Debug-level logging to file and stderr
Installation
- Get the Files: Clone the repo or download and extract the zip
- Get FFMPEG: Make sure you have ffmpeg. In windows open a terminal and type
winget install ffmpeg, in Ubuntu or Debian dosudo apt install ffmpeg - Load a Tool Capable Model: Ensure you have a model that is trained to handle tools properly. Qwen 3 and Gemma 3 are good choices.
- Create JSON Entry: In LM Studio, click Developer mode, then Program, Tools and Integrations, the the arrow next to the Install button, and Edit mcp.json. Add the entry below under mcpServers:
"llm-jukebox": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp",
"--with",
"yt-dlp",
"--with",
"tinydb",
"--with",
"pygame",
"fastmcp",
"run",
"c:/path/to/llm-jukebox/server.py"
],
"env": {
"DOWNLOAD_PATH": "c:/path/to/downloads"
}
}
Make sure to change the paths to fit which paths the repo is in and where you want to the downloads to go.
If you have no other entries, the full JSON should look something like this:
{
"mcpServers": {
"llm-jukebox": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp",
"--with",
"yt-dlp",
"--with",
"tinydb",
"--with",
"pygame",
"fastmcp",
"run",
"c:/users/user/llm-jukebox/server.py"
],
"env": {
"DOWNLOAD_PATH": "c:/users/user/downloads"
}
}
}
}
Click on the Save button or hit Ctrl+S. If it works you should be able to set the slider to turn on llm-jukebox.
Now you can ask the LLM to grab a song for you!
Legal Considerations
This tool is intended for personal use with content you have the right to download. Users are responsible for complying with:
- YouTube's Terms of Service
- Local copyright laws
- Content creators' rights
Always respect intellectual property and consider supporting artists through official channels.
Credit
Playback tool adapted from https://github.com/Here-and-Tomorrow-LLC/audio-player-mcp (MIT Licensed)
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
E2B
Using MCP to run code via e2b.