Orcadub Mcp Server

io.github.Continuum-AI-Corp由 GitHub 帳號 Continuum-AI-Corp 發布v1.4.0更新於 Oct 24, 2026

AI video dubbing via OrcaRouter (model orca/dub): upload a video or URL, poll, download the MP4.

已驗證STDIO僅桌面媒體與設計AI 與機器學習

概覽

AI 產生的概覽

OrcaDub 官方 MCP 伺服器,讓助理透過 OrcaRouter 的 orca/dub 模型把影片配音成其他語言,並下載產生的 MP4。

可以做什麼
  • 檢查閘道與模型路由是否正常,不建立工作也不計費
  • 上傳本機影片檔(超過 64 MiB 自動分塊,最大 8 GiB)並取得 file_id
  • 以 file_id 或 URL 提交配音工作,指定來源語言與目標語言,可選術語表、翻譯風格、對嘴、浮水印與解析度等參數
  • 輪詢工作狀態與進度,直到完成或失敗,並取得交付位址
  • 把完成的 MP4 存到本機路徑,且不會覆寫既有檔案
適用情境
適合希望由助理把影片中的語音翻譯成支援語言並保留原聲的情境,可在 Claude Code、Claude Desktop、Codex CLI、Cursor、Windsurf 等支援 stdio 的 MCP 用戶端中使用。
執行需求
以本機 stdio 程序執行,通常透過 npx @orcadub/cli、Docker 映像、預先編譯的執行檔或原始碼建置啟動;使用 npx 方式需要 Node.js。需要 OrcaRouter API 金鑰,透過環境變數 ORCADUB_API_KEY 提供,並需能連線到固定的 OrcaRouter 閘道。上傳與下載工具會讀寫本機路徑,容器方式需掛載對應目錄。
安裝前請注意
每次工具呼叫都以 ORCADUB_API_KEY 驗證,閘道據此判定工作區與計費。配音工作依來源影片分鐘數計費,dub_create 會產生費用,帳戶需有餘額。上傳的檔案與來源連結會送到 OrcaRouter 閘道處理。dub_download 會寫入本機檔案,回傳的 content_url 是不會過期的 Bearer 驗證連結。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Orcadub Mcp Server,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

[OrcaDub]

Translate any video. Keep the voice.

The official MCP server for OrcaDub — AI video dubbing, driven from your agent.

[CI] [Release] [npm] [License: MIT]

Website · API Docs · Get an API key · Config examples · Releases


Give any MCP-capable agent — Claude Code, Claude Desktop, Codex CLI, Cursor, Windsurf — the ability to dub a video into another language: upload a file or pass a URL, submit a job to the orca/dub model through the OrcaRouter gateway, poll progress, and download the finished MP4.

CLI usage

Every operation is a one-shot subcommand (no resident server needed):

bash
export ORCADUB_API_KEY=sk-orca-...   # from https://www.orcarouter.ai/console
npx -y @orcadub/cli healthnpx -y @orcadub/cli upload --path ./clip.mp4npx -y @orcadub/cli create --source-lang en --target-lang ja \  --url https://youtu.be/... --opt preserve_bgm=truenpx -y @orcadub/cli get --video-id <id>npx -y @orcadub/cli download --video-id <id> --dest ./out.mp4

Optional create parameters use repeatable --opt key=val (e.g. --opt watermark=false --opt resolution=1080p --opt glossary.OrcaDub=OrcaDub). Results print as JSON on stdout; errors go to stderr with a non-zero exit.

With no subcommand the same binary runs as an MCP stdio server (npx -y @orcadub/cli).

Install the agent Skill

The dub-video Skill teaches an agent when to dub, which billed parameters it must confirm, and how to run the upload → create → poll → download workflow. Install it interactively:

bash
npx -y @orcadub/cli skill install

The guided installer opens with a balanced 8-row ORCADUB wordmark, then lets you:

  • Choose the Simplified Chinese or English interface; the system locale selects the initial default.
  • Choose Project or Global installation with the arrow keys.
  • Select one or more platforms from a checkbox list. Detected platforms appear first and are already checked.
  • Press Space to toggle, / to filter, a to select all, n to clear all, and Enter to confirm.

It supports 36 platforms: the 33-platform Comet-compatible catalog plus Hermes, OpenClaw, and Command Code. Use --lang zh or --lang en to skip the language screen. For unattended or agent-driven setup, select targets explicitly:

bash
# Current projectnpx -y @orcadub/cli skill install \  --platform claude --platform codex --scope project --lang en --yes
# User-wide Codex installationnpx -y @orcadub/cli skill install \  --platform codex --scope global --lang zh --yes

Use --yes to accept detected platforms (or all platforms when none are detected) without opening the installer. Use --json for decoration-free structured output. Set NO_COLOR (or use TERM=dumb) for a color-free installer. Existing identical content is left unchanged; an existing different Skill is preserved unless --force is provided. Skill installation needs network access to the canonical orcadub-plugin repository, but it does not require ORCADUB_API_KEY and does not contact OrcaRouter.

Quick start

bash
claude mcp add orcadub -e ORCADUB_API_KEY=sk-orca-... -- npx -y @orcadub/cli

Then just ask your agent: "Dub this into Chinese: https://www.youtube.com/watch?v=…"

Prerequisites

An OrcaRouter API key is required — every tool call is authenticated:

  1. Register / log in at the OrcaRouter console.
  2. Create an API key on the token management page (it looks like sk-orca-...).
  3. Provide it via the ORCADUB_API_KEY environment variable (see below).

Dubbing jobs are billed per minute of source video. Without a key the server still starts, but every tool call returns a sign-up redirect to the console.

Installation

Claude Code

bash
claude mcp add orcadub -e ORCADUB_API_KEY=sk-orca-... -- npx -y @orcadub/cli

Claude Desktop

Add to claude_desktop_config.json:

json
{  "mcpServers": {    "orcadub": {      "command": "npx",      "args": ["-y", "@orcadub/cli"],      "env": { "ORCADUB_API_KEY": "sk-orca-..." }    }  }}

Codex CLI

bash
codex mcp add orcadub --env ORCADUB_API_KEY=sk-orca-... -- npx -y @orcadub/cli

Cursor / Windsurf / other MCP hosts

Any host that launches stdio MCP servers works with the same shape: command npx, args ["-y", "@orcadub/cli"], env ORCADUB_API_KEY. Ready-to-copy configuration files for Claude Code, Codex, Cursor and Windsurf live in examples/.

Docker

Images are published to GHCR for linux/amd64 and linux/arm64:

bash
docker pull ghcr.io/continuum-ai-corp/orcadub-mcp-server:latestclaude mcp add orcadub -e ORCADUB_API_KEY=sk-orca-... -- \  docker run --rm -i -e ORCADUB_API_KEY -v "$PWD:$PWD" -w "$PWD" \  ghcr.io/continuum-ai-corp/orcadub-mcp-server:latest

Or as host JSON config:

json
{  "mcpServers": {    "orcadub": {      "command": "docker",      "args": ["run", "--rm", "-i", "-e", "ORCADUB_API_KEY",               "-v", "/path/to/videos:/work", "-w", "/work",               "ghcr.io/continuum-ai-corp/orcadub-mcp-server:latest"],      "env": { "ORCADUB_API_KEY": "sk-orca-..." }    }  }}

Note: dub_upload and dub_download read/write local paths, so mount the directory you upload from / download to (the -v flag) — paths you pass to the tools must be valid inside the container.

Prebuilt binaries

Download the binary for your platform from the releases page (verify with checksums.txt), then register it directly:

bash
# example: Linux amd64 via gh CLIgh release download v0.1.0 -R Continuum-AI-Corp/orcadub-mcp-server \  -p 'orcadub-mcp-server_*_linux_amd64' -O ~/bin/orcadub-mcp-server && chmod +x ~/bin/orcadub-mcp-serverclaude mcp add orcadub -e ORCADUB_API_KEY=sk-orca-... -- ~/bin/orcadub-mcp-server

From source

bash
git clone https://github.com/Continuum-AI-Corp/orcadub-mcp-server && cd orcadub-mcp-server && make build# binary lands in bin/orcadub-mcp-server

Configuration

Environment variableRequiredDescription
ORCADUB_API_KEYyesOrcaRouter sk-orca-... key, sent as Authorization: Bearer on every request. The gateway resolves your workspace and billing from it.

The gateway address (https://api.orcarouter.ai) is fixed in the binary — there is nothing else to configure.

Tools

ToolDescription
dub_healthEnd-to-end probe of gateway → orca/dub routing. No job is created, nothing is billed.
dub_uploadUpload a local video file; returns the file_id for dub_create. Files above 64 MiB are chunked automatically (up to 8 GiB).
dub_createSubmit a dubbing job (billed). Source is exactly one of file_id or url (YouTube and direct links are fetched server-side). Required: source_lang, target_lang (never auto), and video_name when using file_id. Optional knobs cover content profiles, glossaries, translation style, background-music preservation, lipsync, watermarking, resolution/ratio and more.
dub_getPoll a job: queued → in_progress → completed | failed with integer progress. On completion the response includes content_url (Bearer-authenticated delivery address, never expires) and job_id.
dub_downloadSave a completed job's MP4 to a local path (refuses to overwrite existing files).

Supported languages: en zh ja ko fr de es pt ru ar it hi tr th vi id bn pl nl uk fil el cs sv da no fi sk.

Example

A typical agent conversation:

User: Dub this into Chinese: https://www.youtube.com/watch?v=xxxx

Agent: (dub_create with source_lang=en, target_lang=zh, url=…) → job queued → (polls dub_get every ~30 s) → completed → (asks: download locally? default: current directory) → (dub_download) → "Saved to ./My-Video-zh.mp4 — re-download any time: curl -H "Authorization: Bearer sk-orca-..." <content_url> -o out.mp4"

Direct tool usage from an agent prompt works too — for example dub_create {"source_lang":"en","target_lang":"zh","url":"https://…","glossary":{"OrcaRT":"OrcaDub Realtime"}}.

Troubleshooting

SymptomCause / fix
Tool calls return not authorized … www.orcarouter.ai/consoleORCADUB_API_KEY is unset — register, export the key, restart the session.
401Invalid or expired key — re-issue on the OrcaRouter console.
402 insufficient_creditTop up your OrcaRouter balance (per-minute billing).
429 free_quota_exceededFree-tier limit reached.
task_not_exist on dub_getThe id wasn't created through this gateway — use the id exactly as returned by dub_create.

Development

bash
go build ./...go test ./... -count=1

Layout: cmd/ (entrypoint) · internal/ (HTTP client, Skill installer, tool layer, wire types) · npm/ (npx launcher that downloads the platform binary from GitHub Releases) · server.json (MCP Registry manifest).

Releasing

  1. Tag: git tag v0.1.0 && git push origin v0.1.0.
  2. GitHub Actions runs goreleaser: linux/darwin/windows × amd64/arm64 binaries + archives + checksums land on the Release.
  3. The npm-publish job stamps the tag version into npm/package.json and publishes @orcadub/cli to npm (requires the NPM_TOKEN repo secret).
  4. The registry job stamps the same tag version into server.json and publishes it to the MCP Registry.

License

MIT

來源:README.md,提交 14de090

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. v1.4.0最新Sep 16, 2026

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