LLM Jukebox
This MCP server enables LLMs to search, download, and play YouTube music through integration with yt-dlp for video downloading and pygame for audio playback. Built with FastMCP and featuring async operations with progress tracking, it provides tools for YouTube music search, MP3 conversion with FFmpeg, local music library management using TinyDB, and basic playback controls including play and stop functionality. The implementation maintains a persistent database of downloaded tracks with metadata like title, artist, duration, and download date, making it valuable for building AI-powered music discovery and playback systems that can autonomously find, acquire, and organize music collections from YouTube while respecting legal considerations around personal use and copyright compliance.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/jabberjabberjabber/llm-jukebox
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve LLM Jukebox from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.