mcpField
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Audo

Audo

Remote
audo.aiMedia & Design0Updated 1d ago

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

  1. 01Noise removal and voice enhancement
  2. 02Transcription and caption generation
  3. 03Cutting, joining, and silence removal
  4. 04Mixing, loudness adjustment, and conversion
  5. 05Stem separation and media analysis
  6. 06File, job, and transcript management

Use cases

  1. 01Clean background noise from interview recordings
  2. 02Balance speaker levels in a podcast
  3. 03Create speaker-labeled transcripts and captions
  4. 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.

Endpointhttps://audo.ai/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

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 README

Audo 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_noise reduces background noise while preserving the recorded voice. enhance_voice regenerates 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_audio produces text, word timestamps, speaker labels, and TXT/SRT/VTT/JSON outputs. align_script aligns an existing script to a recording.
  • Editing: cut_audio, remove_fillers, remove_silence, and join_audio trim recordings, remove filler words or long pauses, and combine files.
  • Finishing: level_speakers balances loud and quiet voices; mix_tracks layers and ducks tracks; adjust_loudness sets a target loudness; convert_audio changes formats; replace_audio swaps a video's soundtrack.
  • Music and video: split_audio separates stems; change_speed_pitch changes tempo and pitch; find_key_bpm measures key and tempo; reverse_audio reverses sound; mute_video removes a video's audio.
  • Analysis: analyze_audio reports 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

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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.