Music Analysis
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.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/hugohow/mcp-music-analysis
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Music Analysis 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.