Audio Analysis

v1.0.0Analyticsstable

Enables AI models to analyze audio files through numerical fingerprints, pitch tracking, and visual spectrograms without requiring direct audio playback. It provides tools for comparing audio iterations and detecting patterns using token-efficient an

audio-analysis-mcp-servermcpai-integration
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What is Audio Analysis?

Audio Analysis is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables ai models to analyze audio files through numerical fingerprints, pitch tracking, and visual spectrograms without requiring direct audio playback. it provides tools for comparing audio iteratio...

Enables AI models to analyze audio files through numerical fingerprints, pitch tracking, and visual spectrograms without requiring direct audio playback. It provides tools for comparing audio iterations and detecting patterns using token-efficient an

This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables AI models to analyze audio files through numerical f

Use Cases

Enables AI models to analyze audio files through numerical fingerprints, pitch t
zachswift615

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx audio-analysis-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Audio Analysis

What is Audio Analysis?

Audio Analysis is a Model Context Protocol (MCP) server that enables ai models to analyze audio files through numerical fingerprints, pitch tracking, and visual spectrograms without requiring direct audio playback. it provides tools for comparing audio iterations and detecting patterns using token-efficient an It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Audio Analysis?

Follow the installation instructions on the Audio Analysis GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Audio Analysis?

Audio Analysis works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Audio Analysis free to use?

Yes, Audio Analysis is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Analytics MCP Servers

Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "audio-analysis-mcp-server": { "command": "npx", "args": ["-y", "audio-analysis-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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