
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.
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
在 SourceWeft 中
- 開啟 儀表板中的 Orcadub Mcp Server,將其新增到工作區。
- 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
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):
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:
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
Spaceto toggle,/to filter,ato select all,nto clear all, andEnterto 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:
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
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:
- Register / log in at the OrcaRouter console.
- Create an API key on the token management page (it looks like
sk-orca-...). - Provide it via the
ORCADUB_API_KEYenvironment 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
Claude Desktop
Add to claude_desktop_config.json:
Codex 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:
Or as host JSON config:
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:
From source
Configuration
The gateway address (https://api.orcarouter.ai) is fixed in the binary — there is nothing else to configure.
Tools
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
Development
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
- Tag:
git tag v0.1.0 && git push origin v0.1.0. - GitHub Actions runs goreleaser: linux/darwin/windows × amd64/arm64 binaries + archives + checksums land on the Release.
- The
npm-publishjob stamps the tag version intonpm/package.jsonand publishes@orcadub/clito npm (requires theNPM_TOKENrepo secret). - The registry job stamps the same tag version into
server.jsonand publishes it to the MCP Registry.
License
來源:README.md,提交 14de090
工具
0版本歷史
1- v1.4.0最新Sep 16, 2026
評分
已滿足適用檢查項的 50%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
- 近 30 天內可連通25 分
請保持端點能夠回應 MCP 握手;SourceWeft 每 30 天探測一次。
- 已宣告認證方式10 分
請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。
- 已列出工具15 分
請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。
- 描述必需15 分
- 圖示10 分
- 文件15 分
- 授權條款10 分