About Audo
Audo is a hosted audio and video processing service for AI assistants, with tools for cleanup, transcription, editing, and analysis. Its tool set spans media processing and file and job management, and connects through OAuth.
Key features
- 01Noise removal and voice enhancement
- 02Transcription and caption generation
- 03Cutting, joining, and silence removal
- 04Mixing, loudness adjustment, and conversion
- 05Stem separation and media analysis
- 06File, job, and transcript management
Use cases
- 01Clean background noise from interview recordings
- 02Balance speaker levels in a podcast
- 03Create speaker-labeled transcripts and captions
- 04Split audio stems and adjust speed or pitch
MCP support
Audo provides a hosted MCP server at https://audo.ai/mcp using Streamable HTTP and OAuth. MCP clients can call its audio and video tools and manage files and processing jobs.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://audo.ai/mcpclaude mcp add --transport http ai-audo-audo https://audo.ai/mcp{"mcpServers":{"ai-audo-audo":{"type":"http","url":"https://audo.ai/mcp"}}}Open in Cursor{"servers":{"ai-audo-audo":{"type":"http","url":"https://audo.ai/mcp"}}}Open in VS Code{"mcpServers":{"ai-audo-audo":{"type":"http","url":"https://audo.ai/mcp"}}}{"mcpServers":{"ai-audo-audo":{"serverUrl":"https://audo.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEAudo MCP server and agent plugin
Audo: pro sound without the studio. Audio and video tools for you and your AI assistant: remove noise, enhance voices, transcribe, cut, and more.
This repository packages Audo's hosted MCP server at https://audo.ai/mcp. It uses Streamable HTTP and OAuth. The first time you connect, your assistant asks you to sign in to your Audo account. No API key is required for the OAuth connection.
Install
Agent Plugin clients
This repository contains a portable Agent Plugins manifest, plugin.json, and a root mcp.json pointing to the hosted server. Install the repository using your client's plugin installation workflow. Official marketplace listings are pending; this repository does not imply approval by a marketplace.
Claude Code
claude mcp add --transport http --scope user audo https://audo.ai/mcp
Codex
codex mcp add audo --url https://audo.ai/mcp
codex mcp login audo
Cursor and other MCP clients
For a client's custom MCP configuration, use:
{
"mcpServers": {
"audo": {
"url": "https://audo.ai/mcp"
}
}
}
Connect through OAuth when the client prompts. See setup guides for client-specific instructions.
What it does
- Speech cleanup:
remove_noisereduces background noise while preserving the recorded voice.enhance_voiceregenerates supplied speech to restore echo, distortion, muffled recordings, and poor microphones. Both are designed for speech and can remove music or other sounds. - Text and captions:
transcribe_audioproduces text, word timestamps, speaker labels, and TXT/SRT/VTT/JSON outputs.align_scriptaligns an existing script to a recording. - Editing:
cut_audio,remove_fillers,remove_silence, andjoin_audiotrim recordings, remove filler words or long pauses, and combine files. - Finishing:
level_speakersbalances loud and quiet voices;mix_trackslayers and ducks tracks;adjust_loudnesssets a target loudness;convert_audiochanges formats;replace_audioswaps a video's soundtrack. - Music and video:
split_audioseparates stems;change_speed_pitchchanges tempo and pitch;find_key_bpmmeasures key and tempo;reverse_audioreverses sound;mute_videoremoves a video's audio. - Analysis:
analyze_audioreports media information, loudness, peaks, clipping, and silence.
Use add_file for a direct HTTPS file URL or to start an upload. Supported chat clients also expose Audo's in-chat upload box. Local coding agents can use the returned upload command. Do not pass a local filesystem path as a public URL.
list_files, get_file, get_job, get_transcript, cancel_job, and get_account manage files, status, transcript reading, cancellation, and account information. Processing tools return either finished output or a job to check with get_job.
Example workflows
- Remove background noise from an interview and return the cleaned recording.
- Balance a quiet guest and loud host, then normalize the result for a podcast.
- Transcribe a recording with speaker labels and return the transcript and SRT captions.
- Split vocals and instrumental audio, then change the instrumental's speed or pitch.
Free use, limits, and privacy
Tools include a free allowance subject to per-tool daily limits. Full-file processing beyond that allowance requires sufficient existing Audo credits. Current allowances and rates are on Audo's pricing page.
Files and results are deleted after 24 hours. Output download links are temporary; use get_file for a fresh link while the file is retained. Only upload recordings you are permitted to process. See privacy and terms.
Documentation and support
The repository also contains server.json for the official MCP Registry entry ai.audo/audo. The hosted service is operated by Audo AI LLC; its implementation and credentials are not included here.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.