Audioport

io.github.CloudCorpRecords由 GitHub 帳號 CloudCorpRecords 發布v0.1.0更新於 Nov 3, 2026

通過 ffmpeg 進行音訊後設資料、轉換、裁剪、歸一化和轉錄。

AI 翻譯由 AI 模型根據下方的原文描述翻譯,可能有誤。

原文描述

Audio metadata, conversion, trimming, normalization, and transcription via ffmpeg.

已驗證STDIO僅桌面

概覽

Audioport 的本機 MCP 服務;無需登入;STDIO。

暫無 AI 概覽:以下資訊來自註冊中心條目和服務本身。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Audioport,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

audioport

audioport does everyday audio work on local files. It reads the facts ffprobe reports about a file — its format, duration, bit rate, sample rate, and channel count — converts between the common audio formats, cuts a segment out of a file starting at a chosen second, and normalizes loudness with ffmpeg's loudnorm filter. A fifth tool transcribes, but only through a transcription engine you configure yourself; audioport bundles no engine and invents no transcripts.

All processing runs through the ffmpeg and ffprobe binaries on the machine, invoked with argument arrays (never a shell), so those binaries must be installed for the processing tools to work. When they are missing, the binary's own error is returned instead of a made-up result.

Transcription

Transcription is delegated to a local command named by the AUDIOPORT_TRANSCRIBER_COMMAND environment variable. The command is run with the audio file path as its last argument, and its stdout is the transcript. For example:

bash
export AUDIOPORT_TRANSCRIBER_COMMAND="whisper-cli --model base"

When the variable is unset, transcribe and the transcribe_audio tool fail with an error naming AUDIOPORT_TRANSCRIBER_COMMAND. There is no API key, no hosted service, and no fallback that guesses at the words.

Install

bash
npx @reneturcios/audioport metadata song.mp3

Or run the container image:

bash
docker run -i ghcr.io/cloudcorprecords/audioport

The container defaults to the MCP server (see below) and bundles no ffmpeg/ffprobe; use a host install, or a derived image with ffmpeg installed, for the processing tools. Pass CLI arguments to use it as a CLI instead.

CLI

bash
audioport metadata song.mp3audioport convert song.wav song-out.mp3 mp3 --bitrate 192kaudioport trim song.mp3 clip.mp3 5 --duration 10audioport normalize song.wav song-normalized.wavaudioport transcribe song.mp3 --language en
audioport --version

The convert command writes to the output path with its extension replaced by the target format when they differ (converting song-out.ogg to mp3 writes song-out.mp3). Supported formats: mp3, wav, ogg, flac, aac, m4a.

Each command prints its result as JSON. Exit codes: 0 on success, 1 when processing fails (including a missing transcription engine), 2 for usage errors.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

bash
npx -y @reneturcios/audioport mcp

MCP client configuration:

json
{  "mcpServers": {    "audioport": {      "command": "npx",      "args": ["-y", "@reneturcios/audioport", "mcp"],      "env": { "AUDIOPORT_TRANSCRIBER_COMMAND": "whisper-cli --model base" }    }  }}

Tools

ToolInputWhat it returns
get_audio_metadatainput (required)Format, duration in seconds, bit rate, sample rate, and channels; fields ffprobe did not provide are null.
convert_audioinput, output, format (required), bitrate (optional)The effective output path (extension follows the format), format, and bit rate.
trim_audioinput, output, start (required), duration (optional)The output path, start second, and duration.
normalize_audioinput, output (required)The input and output paths, after a loudnorm pass.
transcribe_audioinput (required), language (optional)The transcript from the configured engine, or an error naming AUDIOPORT_TRANSCRIBER_COMMAND when none is configured.

Development

bash
npm installnpm run build   # tsc -> dist/npm test        # node test runner over test/*.test.ts, fake executors onlynpm run dev     # run the CLI from source via tsx

License

MIT — see LICENSE.

來源:README.md,提交 7989b7b

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.1.0最新Nov 3, 2026

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