# Audo

Processes audio and video through AI assistants to strip noise, cut dead air, level voices, and generate speech transcripts. Useful for editing media straight from code.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI
- Author: audo-ai
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/audo-ai/audo-mcp
- Updated: 2026-10-20
- HTML: https://affpapa.org/en/nevibecode/mcp/audo

## What it does

Audo runs as a remote HTTP MCP endpoint hosted at `https://audo.ai/mcp`. There are no local dependencies. Authentication relies on OAuth: your assistant opens an audo.ai browser window on the first call.

The server provides tools to scrub background hum, improve muffled speech, delete filler words, drop silent gaps, and combine voice tracks with background audio. For speech-to-text, it handles 60 languages with speaker diarization and outputs SRT or VTT caption files. Media files enter processing through URL imports or direct file uploads.

Uploaded files are deleted after 24 hours. The service grants a daily free quota for each tool, charging per audio minute only for jobs that finish successfully.

## Requirements
- Remote server: `https://audo.ai/mcp`

## Install

### Claude Code (native platform)

**Platform CLI: remote server**
```bash
claude mcp add --transport http audo https://audo.ai/mcp
```

### Codex

**Platform CLI: remote server**
```bash
codex mcp add audo --url https://audo.ai/mcp
```

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "audo": {
            "url": "https://audo.ai/mcp"
        }
    }
}
```

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "audo": {
            "type": "http",
            "url": "https://audo.ai/mcp"
        }
    }
}
```

### Gemini CLI

**Platform CLI: remote server**
```bash
gemini mcp add -t http audo https://audo.ai/mcp
```

## When to use it
- strip background hum and room echo from voice tracks
- produce SRT or VTT transcripts across 60 languages with speaker tags
- slice out hesitations, filler sounds, and empty pauses
- combine voice tracks with background audio and balance loudness

## Example prompts
- Use Audo to filter background hiss out of `demo-voice.wav`.
- Generate an SRT transcript for `review.mp4` with speaker labels.
- Remove silent gaps and normalize audio levels in `discussion.m4a`.

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