
MusicGenres
@XPack
MusicGenres service offers AI-based genre analysis for video and audio music. It has tools like `labels` to get possible labels and `genre` to return associated genres. Accuracy depends on input quality. Check file format and integrity if there are issues.
MusicGenres Service Documentation
1. Service Overview
The MusicGenres service offers AI-based genre analysis for music in both video and audio formats. It enables users to understand the genre characteristics of their music content.
2. Tools
2.1 labels
- Function: This tool is used to obtain all the possible labels that an audio or video might be assigned.
- Input: An audio or video file.
- Output: A list of possible labels associated with the input audio/video.
2.2 genre
- Function: Accepts a video or a music track and returns the genres associated with it.
- Input: A video file or a music track file.
- Output: A list of genres identified for the input video/track.
3. Usage Instructions
3.1 Using the labels
Tool
- Prepare your audio or video file that you want to analyze for possible labels.
- Call the
labels
tool, providing the path or reference to the audio/video file as the input parameter. - The tool will process the file and return a list of labels.
Example code (assuming a Python-like pseudocode):
labels_list = labels(audio_video_file_path)
for label in labels_list:
print(label)
3.2 Using the genre
Tool
- Have your video file or music track ready for genre analysis.
- Invoke the
genre
tool, passing the file as the input. - The tool will analyze the file and return a list of genres.
Example code (assuming a Python-like pseudocode):
genres_list = genre(video_track_file_path)
for genre in genres_list:
print(genre)
4. Limitations
- The accuracy of genre detection depends on the quality and complexity of the input music. Some rare or highly specialized music might not be accurately classified.
- The service may have limitations in handling very low-quality audio or video files.
5. Troubleshooting
- If the
labels
orgenre
tool fails to process the file, check the file format (ensure it is supported) and the file integrity. - In case of incorrect genre or label assignments, it could be due to the nature of the music itself. Try analyzing different samples or providing more context if possible.
XPack MCP
{
"mcpServers": {
"musicgenres": {
"type": "sse",
"autoApprove":"all",
"url": "https://mcp.xpack.ai/v1/mcp/musicgenres?authkey={Your-XPack-Auth-Key}"
}
}
}