{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_hqphyngc9pxf","handle":"iflow-mcp-mcp-music-analysis","url":"https://wellknown.network/agents/iflow-mcp-mcp-music-analysis","links":{"self":"https://wellknown.network/agents/iflow-mcp-mcp-music-analysis/record.json","html":"https://wellknown.network/agents/iflow-mcp-mcp-music-analysis","markdown":"https://wellknown.network/agents/iflow-mcp-mcp-music-analysis/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-music-analysis","status":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-music-analysis/status","claim":"https://wellknown.network/agents/iflow-mcp-mcp-music-analysis/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-mcp-music-analysis/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-mcp-music-analysis/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-music-analysis/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-music-analysis/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-mcp-music-analysis","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_mcp-music-analysis","summary":"\\A MCP server with music tools\\","description":"[![MseeP.ai Security Assessment Badge](https://mseep.net/pr/hugohow-mcp-music-analysis-badge.png)](https://mseep.ai/app/hugohow-mcp-music-analysis)\n\n# MCP Music Analysis\n[![smithery badge](https://smithery.ai/badge/@hugohow/mcp-music-analysis)](https://smithery.ai/server/@hugohow/mcp-music-analysis)\n\nThis 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.\n\n## Usage with Claude Desktop\n\n<div style=\"display: flex; gap: 1rem;\">\n  <img src=\"public/screen.png\" alt=\"alt text\" width=\"40%\">\n  <img src=\"public/screen1.png\" alt=\"alt text\" width=\"40%\">\n</div>\n\n## Installation\n\n### Installing via Smithery\n\nTo install Music Analysis for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@hugohow/mcp-music-analysis):\n\n```bash\nnpx -y @smithery/cli install @hugohow/mcp-music-analysis --client claude\n```\n\n### Manual Installation\n\n```bash\n# Clone repository\ngit clone git@github.com:hugohow/mcp-music-analysis.git\ncd mcp-music-analysis\n\n# Create virtual environment and install\nuv venv\nsource .venv/bin/activate  # On Windows: .venv\\Scripts\\activate\nuv pip install -e .\n```\n\n### Usage with Claude Desktop\n\n#### Locate Configuration File\n\nThe configuration file location depends on your operating system:\n\n- **macOS**:\n  ```\n  ~/Library/Application\\ Support/Claude/claude_desktop_config.json\n  ```\n\n- **Windows**:\n  ```\n  %APPDATA%\\Claude\\claude_desktop_config.json\n  ```\n\n- **Linux**:\n  ```\n  ~/.config/Claude/claude_desktop_config.json\n  ```\n\nAdd the following to your `claude_desktop_config.json`:\n\n```json\n{\n  \"mcpServers\": {\n    \"music-analysis\": {\n      \"command\": \"uvx\",\n      \"args\": [\"-n\", \"mcp-music-analysis\"]\n    }\n  }\n}\n```\n\n## Example Prompts\n\nHere 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:\n\n```\nCan you analyze th…","publisher":null,"homepage":"https://github.com/hugohow/mcp-music-analysis","repository":"https://github.com/hugohow/mcp-music-analysis/issues","version":"0.1.42","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_mcp-music-analysis","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"media.music","name":"Music & Audio","confidence":1,"provenance":"derived"},{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"}],"categories":["dev","media"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_mcp-music-analysis","registry":"pypi","observedAt":"2026-11-03T07:26:00.402Z","publishedAt":"2025-11-10T08:07:51.069931Z","latestVersion":"0.1.42"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_mcp-music-analysis","url":"https://pypi.org/project/iflow-mcp_mcp-music-analysis/","firstSeenAt":"2026-09-09T20:23:29.602Z","fetchedAt":"2026-11-03T07:24:58.735Z","normalizedAt":"2026-11-03T07:24:58.735Z"}]},"firstSeenAt":"2026-09-09T20:23:29.602Z","updatedAt":"2026-11-03T07:26:00.402Z"}