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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Enables AI assistants to programmatically edit, analyze, and export audio projects through MCP tools, including multi-track editing, effects, transcription, and semantic search.

README.md

<p align="center"> <img src="docs/header.png" alt="AI Sound — AI-Native Audio Editor" width="100%"> </p>

<p align="center"> <strong>An AI-native audio editor that works with any OpenAI-compatible LLM.</strong> </p>

<p align="center"> <img src="https://img.shields.io/badge/runtime-Bun-f9f1e1?logo=bun" alt="Bun"> <img src="https://img.shields.io/badge/React-19-61dafb?logo=react" alt="React 19"> <img src="https://img.shields.io/badge/MCP-compatible-blue" alt="MCP Compatible"> <img src="https://img.shields.io/badge/license-MIT-green" alt="MIT License"> </p>

---

<p align="center"> <img src="assets/ai-audio-screenshot.png" alt="AI Sound Screenshot" width="90%"> </p>

What is AI Sound?

AI Sound is an AI-native audio editor designed as a modern replacement for desktop tools like Audacity. Instead of bolting AI onto an existing app, AI Sound is built from the ground up with LLM integration at its core — enabling conversational audio editing, automatic transcription, speaker diarization, and semantic search across your audio content.

It works with any OpenAI-compatible API — run it fully local with Ollama, or connect to OpenAI, Groq, or any other compatible provider. No vendor lock-in, no API keys required for local use.

AI Sound also exposes a full MCP (Model Context Protocol) server, letting AI assistants like Claude Desktop directly edit, analyze, and export your audio projects.

Key Features

  • Multi-track editing — import, arrange, and mix multiple audio tracks
  • AI-powered transcription — speech-to-text with word-level timestamps
  • Speaker diarization — automatically identify and split by speaker
  • Semantic search — find content by meaning, not just keywords
  • Audio effects — normalize, compress, EQ, reverb, noise reduction, fade, pitch shift, speed
  • Non-destructive editing — full undo/redo history
  • Export — export individual tracks or full project mixes
  • MCP integration — expose all editing tools to AI assistants

Quickstart

Prerequisites

  • Bun — JavaScript/TypeScript runtime
  • FFmpeg — audio processing (brew install ffmpeg on macOS)
  • An OpenAI-compatible LLM — Ollama for local, or any cloud provider

Install & Run

git clone https://github.com/your-username/ai-sound.git
cd ai-sound
bun install
bun run dev

Open http://localhost:5175 in your browser.

On first launch, configure your LLM provider in Settings (gear icon). The default is Ollama at localhost:11434.

LLM Configuration

AI Sound works with any OpenAI-compatible API. Configure your provider in-app via Settings — no .env files needed.

| Provider | Base URL | Model Example | |----------|----------|---------------| | Ollama (local) | http://localhost:11434/v1 | llama3.2 | | OpenAI | https://api.openai.com/v1 | gpt-4o | | Anthropic (via proxy) | provider-specific | claude-sonnet-4-20250514 | | Groq | https://api.groq.com/openai/v1 | llama-3.3-70b |

For cloud providers, enter your API key in the Settings panel. For Ollama, no API key is needed.

MCP Server

AI Sound includes a built-in Model Context Protocol server, allowing AI assistants like Claude Desktop to interact with your audio projects programmatically.

Claude Desktop Configuration

Add the following to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "ai-sound": {
      "command": "bun",
      "args": ["run", "/absolute/path/to/ai-sound/server/lib/mcp/server.ts"]
    }
  }
}

Replace /absolute/path/to/ai-sound with the actual path to your installation.

Available Tools

Project Management

  • list_projects — List all projects
  • set_active_project — Set the active project for subsequent operations
  • get_project_status — Get all tracks, durations, regions, and transcriptions
  • get_track_info — Get detailed info about a specific track

Audio Effects & Processing

  • normalize_audio — Normalize audio levels
  • adjust_volume — Adjust volume by relative dB amount
  • trim_audio — Trim to a specific time range
  • remove_silence — Detect and remove silent sections
  • apply_fade — Apply fade in/out
  • apply_effect — Apply effects: noise reduction, compressor, EQ, reverb, speed, pitch shift

Segment Operations

  • remove_segments — Remove multiple time ranges from a track
  • replace_audio_segment — Replace a time range with silence or a beep

Track Operations

  • rename_track — Rename a track
  • delete_track — Delete a track and its audio
  • merge_tracks — Merge multiple tracks into one
  • duplicate_track — Duplicate a track
  • export_audio — Export a track or full project mix

Transcription & Search

  • transcribe_track — Transcribe audio using speech-to-text
  • split_by_speaker — Split a track by speaker
  • rename_speaker — Rename a speaker label
  • search_transcription — Search transcription text by pattern
  • search_transcript_semantic — Semantic search across transcriptions
  • copy_transcriptions — Copy transcription data between tracks

Tech Stack

| Layer | Technology | |-------|-----------| | Runtime | Bun | | Server | Hono | | Database | SQLite via Drizzle ORM | | Frontend | React 19 + Tailwind CSS 4 | | Audio | wavesurfer.js + FFmpeg | | AI Integration | OpenAI-compatible API + MCP SDK |

License

MIT

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