MCP Audio Inspector
Analyzes audio files and extracts metadata, tailored for game audio development workflows.
MCP Audio Inspector
A Model Context Protocol (MCP) server for comprehensive audio file analysis and metadata extraction, designed specifically for game audio development workflows.
Features
- Comprehensive Metadata Extraction: Uses music-metadata library for detailed audio analysis
- FFprobe Fallback: Handles exotic and corrupted formats through FFprobe
- Game Audio Analysis: Specialized analysis for game development use cases
- Batch Processing: Analyze entire directories of audio files
- MCP Integration: Seamless integration with Claude Desktop
- Cross-Platform: Works on Windows, macOS, and Linux
Installation
npm install -g mcp-audio-inspector
Or use with npx:
npx mcp-audio-inspector
Usage
MCP Server Mode (Claude Desktop)
Add to your Claude Desktop configuration:
{
"mcpServers": {
"audio-inspector": {
"command": "npx",
"args": ["-y", "mcp-audio-inspector"],
"env": {}
}
}
}
Standalone CLI Mode
Analyze a single file:
npx mcp-audio-inspector --standalone path/to/audio.mp3
Batch analyze a directory:
npx mcp-audio-inspector --batch path/to/audio/directory
Save output to file:
npx mcp-audio-inspector --standalone audio.wav --output analysis.json
Supported Formats
Primary Support (music-metadata):
- MP3, WAV, FLAC, OGG, M4A, AAC, WMA, AIFF, AU, WebM, Opus, APE, MP4
Extended Support (FFprobe fallback):
- Any format supported by FFmpeg
MCP Tools
analyze_audio_file
Analyze a single audio file and extract comprehensive metadata.
Parameters:
filePath(string, required): Path to the audio fileincludeGameAnalysis(boolean, optional): Include game-specific analysis (default: true)
analyze_audio_batch
Analyze all audio files in a directory.
Parameters:
directoryPath(string, required): Path to directory containing audio filesrecursive(boolean, optional): Search subdirectories recursively (default: false)includeGameAnalysis(boolean, optional): Include game-specific analysis (default: true)
get_supported_formats
Get list of supported audio formats.
Output Schema
The tool returns comprehensive metadata including:
{
"file": {
"path": "string",
"name": "string",
"size": "number",
"modified": "ISO date string"
},
"format": {
"container": "string",
"codec": "string",
"lossless": "boolean",
"duration": "number",
"bitrate": "number",
"sampleRate": "number",
"channels": "number",
"bitsPerSample": "number"
},
"tags": {
"title": "string",
"artist": "string",
"album": "string",
"year": "number",
"genre": "string",
"track": "number",
"comment": "string"
},
"gameAudio": {
"suitableForLoop": "boolean",
"recommendedCompressionFormat": "string",
"estimatedMemoryUsage": "number",
"platformOptimizations": {
"mobile": "string",
"desktop": "string",
"console": "string"
},
"compressionRatio": "number",
"gameDevNotes": "string"
}
}
Game Audio Analysis
The inspector includes specialized analysis for game development:
- Loop Suitability: Determines if audio is suitable for looping
- Compression Recommendations: Suggests optimal compression formats
- Memory Usage Estimation: Calculates uncompressed memory requirements
- Platform Optimizations: Platform-specific optimization suggestions
- Game Development Notes: Actionable recommendations for game audio
Requirements
- Node.js 18+
- FFmpeg/FFprobe (for fallback support)
Complete Documentation
This README provides a quick overview. For comprehensive documentation:
🚀 Getting Started
- Installation Guide: Complete setup instructions
- Quick Start Tutorial: Get running in 15 minutes
- API Reference: Complete API documentation
🎮 Workflows & Tutorials
- Game Audio Workflow: Complete game development pipeline
- ElevenLabs Integration: AI voice processing workflow
- Batch Processing Guide: Efficient mass audio processing
🔧 Support & Troubleshooting
- Troubleshooting Guide: Common issues and solutions
- Contributing Guide: How to contribute to the project
License
MIT License - see LICENSE file for details.
Contributing
Contributions welcome! Please read our Contributing Guide and submit pull requests to our GitHub repository.
Support
- Issues: GitHub Issues
- Documentation: README
- Community: Discussions
Serveurs connexes
Scout Monitoring MCP
sponsorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
MCP Quickstart
A basic MCP server from the Quickstart Guide, adapted for OpenAI's Chat Completions API.
MetaMCP
A self-hostable middleware to manage all your MCPs through a GUI and a local proxy, supporting multiple clients and workspaces.
Photoshop MCP Server
An MCP server for integrating with and automating Adobe Photoshop using the photoshop-python-api.
Unstructured
Set up and interact with your unstructured data processing workflows in Unstructured Platform
Neovim MCP Server
Connects any MCP client to the Neovim editor for seamless integration and control.
ucn
Universal Code Navigator - a lightweight MCP server that gives AI agents call-graph-level understanding of code. Instead of reading entire files, agents ask structural questions like: "who calls this function", "what breaks if I change it", "what's unused", and get precise, AST-verified answers. UCN parses JS/TS, Python, Go, Rust, Java, and HTML inline scripts with tree-sitter, then exposes 28 navigation commands as a CLI tool, MCP server, or agent skill.
Hyperliquid
Interact with the Hyperliquid decentralized exchange by integrating its SDK.
Code Reaper
CodeReaper is an AI-driven MCP tool for Cursor that finds and removes dead JavaScript by exploring real UIs and capturing V8 coverage
ContextStream
Persistent memory and semantic search for AI coding assistants across sessions
Remote MCP Server (Authless)
An example of a remote MCP server deployable on Cloudflare Workers without authentication.