pulsemcp verified Safe content atomic mcp-remote

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.

Cognium trust score
96%
Tier
Verified

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

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
media
Source
PulseMCP
Author type
human
Last scanned
2026-09-28
Updated
2026-09-28
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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
Swap --scope user for --scope project to commit it to .mcp.json.

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