\A MCP server with music tools\
Until 2026-09-25 this record combined several servers published from one repository. The others now have records of their own: mcp-music-analysis. Checks from before that date include them.
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-mcp-music-analysis","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
[](https://mseep.ai/app/hugohow-mcp-music-analysis) # MCP Music Analysis [](https://smithery.ai/server/@hugohow/mcp-music-analysis) This repository contains a **Model Context Provider (MCP)** that uses MCP and [librosa](https://librosa.org/) for audio analysis on audio in local, youtube link, or audio link. ## Usage with Claude Desktop <div style="display: flex; gap: 1rem;"> <img src="public/screen.png" alt="alt text" width="40%"> <img src="public/screen1.png" alt="alt text" width="40%"> </div> ## Installation ### Installing via Smithery To install Music Analysis for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@hugohow/mcp-music-analysis): ```bash npx -y @smithery/cli install @hugohow/mcp-music-analysis --client claude ``` ### Manual Installation ```bash # Clone repository git clone git@github.com:hugohow/mcp-music-analysis.git cd mcp-music-analysis # Create virtual environment and install uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate uv pip install -e . ``` ### Usage with Claude Desktop #### Locate Configuration File The configuration file location depends on your operating system: - **macOS**: ``` ~/Library/Application\ Support/Claude/claude_desktop_config.json ``` - **Windows**: ``` %APPDATA%\Claude\claude_desktop_config.json ``` - **Linux**: ``` ~/.config/Claude/claude_desktop_config.json ``` Add the following to your `claude_desktop_config.json`: ```json { "mcpServers": { "music-analysis": { "command": "uvx", "args": ["-n", "mcp-music-analysis"] } } } ``` ## Example Prompts Here are some sample prompts you might use in a conversational or chat-based context once the server is running. The MCP will understand these requests and execute the relevant tools: ``` Can you analyze th…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.