MCP Music Analysis integrates librosa's audio processing capabilities with FastMCP to provide detailed audio feature extraction directly within AI conversations. Created by Hugo How-Choong, this server implementation offers 13 specialized tools for analyzing music and audio files, including tempo detection, spectral analysis, MFCC computation, and onset detection. Users can simply provide a file path to extract musical characteristics without leaving their conversation interface, making it ideal for musicians, audio engineers, and music analysts who need quick insights into audio properties.
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Analyze the beat of an audio file. Parameter: file_path (string) - path to the audio file.
Get the duration of an audio file. Parameter: file_url (string) - URL of the audio file.
Compute the Mel-frequency cepstral coefficients (MFCC) for an audio file. Parameter: file_path (string) - path to the audio file.
Get the spectral centroid values for an audio file. Parameter: file_path (string) - path to the audio file.
Get the onset times for an audio file from a YouTube link. Parameter: youtube_url (string) - URL of the YouTube video.
