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get_most_played_tracks

Retrieve your most frequently played tracks from the rekordbox DJ database to analyze performance trends and identify popular selections.

Instructions

Get the most played tracks in the library.

Args: limit: Maximum number of tracks to return

Returns: List of most played tracks

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo

Implementation Reference

  • MCP tool handler decorated with @mcp.tool(). Ensures database connection, calls the database helper method, serializes Track models to dicts, and returns the list of most played tracks.
    @mcp.tool() async def get_most_played_tracks(limit: int = 20) -> List[Dict[str, Any]]: """ Get the most played tracks in the library. Args: limit: Maximum number of tracks to return Returns: List of most played tracks """ if not db: raise RuntimeError("Database not initialized.") tracks = await db.get_most_played_tracks(limit) return [track.model_dump() for track in tracks]
  • Database class method that fetches all active content from pyrekordbox database, sorts by DJPlayCount descending, converts top limit contents to Track models using _content_to_track, and returns the list.
    async def get_most_played_tracks(self, limit: int = 20) -> List[Track]: """Get the most played tracks.""" if not self.db: raise RuntimeError("Database not connected") all_content = list(self.db.get_content()) active_content = [c for c in all_content if getattr(c, 'rb_local_deleted', 0) == 0] # Sort by play count descending sorted_content = sorted(active_content, key=lambda x: getattr(x, 'DJPlayCount', 0) or 0, reverse=True) return [self._content_to_track(content) for content in sorted_content[:limit]]

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