
Orcadub Mcp Server
io.github.Continuum-AI-Corp由 GitHub 账号 Continuum-AI-Corp 发布v1.4.0更新于 Oct 24, 2026
AI video dubbing via OrcaRouter (model orca/dub): upload a video or URL, poll, download the MP4.
概览
OrcaDub 官方 MCP 服务器,让助手通过 OrcaRouter 的 orca/dub 模型把视频配音成其他语言,并下载生成的 MP4。
- 可以做什么
- 检查网关与模型路由是否正常,不创建任务也不计费
- 上传本地视频文件(超过 64 MiB 自动分块,最大 8 GiB)并获得 file_id
- 用 file_id 或 URL 提交配音任务,指定源语言和目标语言,可选术语表、翻译风格、口型同步、水印和分辨率等参数
- 轮询任务状态与进度,直到完成或失败,并获取交付地址
- 把完成的 MP4 保存到本地路径,且不会覆盖已有文件
- 适用场景
- 适合希望由助手把视频中的语音翻译成受支持语言并保留原声的场景,可在 Claude Code、Claude Desktop、Codex CLI、Cursor、Windsurf 等支持 stdio 的 MCP 客户端中使用。
- 运行要求
- 以本地 stdio 进程运行,通常通过 npx @orcadub/cli、Docker 镜像、预编译二进制或源码构建启动;使用 npx 方式需要 Node.js。需要 OrcaRouter API 密钥,通过环境变量 ORCADUB_API_KEY 提供,并需能访问固定的 OrcaRouter 网关。上传和下载工具会读写本地路径,容器方式需挂载相应目录。
安装
在 SourceWeft 中
- 打开 控制台中的 Orcadub Mcp Server,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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
来源:README.md,提交 14de090
工具
0版本历史
1- v1.4.0最新Sep 16, 2026
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