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mcp-music-analysis
Integrate librosa, whisper with LLMs to analyze music audio.
25stars
10forks
Python
mcp
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
AI summary
Auto-generated overview of what this skill does and when to reach for it.
Analyze music files or YouTube links with librosa and Whisper to extract features like beats, MFCCs, and lyrics.
Use this when
- Need beat detection in a local MP3 file
- Extract MFCC features from an audio file
- Get spectral centroid values for a WAV file
- Analyze YouTube video audio without downloading
- Transcribe lyrics from an audio file
Don't use when
- Only need basic audio metadata (use ffprobe instead)
- Working with non-audio files like images or text
- Need real-time audio processing (this is offline analysis)
Capabilities
- Detect beats in audio files
- Extract MFCC features
- Compute spectral centroid values
- Download and analyze YouTube audio
- Transcribe lyrics with Whisper
- Return audio duration
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest hugohow/mcp-music-analysisAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx mcp-music-analysis
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"mcp-music-analysis": {
"command": "uvx",
"args": [
"mcp-music-analysis"
]
}
}
}Loading README…
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