原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Orcadub MCP Server

作者:Continuum-AI-Corp版本 1.4.0i★ –i在你的电脑上运行
注册名称io.github.Continuum-AI-Corp/orcadub-mcp-server

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 设计、图片与音频
  • 你需要填写:ORCADUB_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "orcadub": {
      "command": "npx",
      "args": [
        "-y",
        "@orcadub/cli"
      ],
      "env": {
        "ORCADUB_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add orcadub --env ORCADUB_API_KEY=your-value -- npx -y @orcadub/cli

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "orcadub": {
      "command": "npx",
      "args": [
        "-y",
        "@orcadub/cli"
      ],
      "env": {
        "ORCADUB_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "orcadub": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@orcadub/cli"
      ],
      "env": {
        "ORCADUB_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • ORCADUB_API_KEY 机密 必填 env
    OrcaRouter API key (sk-orca-...). Create one at https://www.orcarouter.ai/console.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Continuum-AI-Corp 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 2800 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2800 个服务器的 17% 更新
  • 基础检查结果等于或优于此分类中其他 2800 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Orcadub MCP Server 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:ORCADUB_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.4.0)于4个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

作者:GLips广泛使用↓ 16.1万/周★ 1.6万5个月前更新

在你的电脑上运行

Claude Real Video

Let any LLM watch a video locally — and search everything it has ever watched.

作者:HUANGCHIHHUNGLeo广泛使用↓ 1106/周★ 22842个月前更新

在你的电脑上运行

Figma MCP Server

The Figma MCP server brings Figma design context directly into your AI workflow.

作者:figma广泛使用★ 215213个月前更新

在云端运行✓ mcp.figma.com

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Translate any video. Keep the voice.

The official [MCP](https://modelcontextprotocol.io) server for [OrcaDub](https://orcadub.orcarouter.ai) — AI video dubbing, driven from your agent.

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):

export ORCADUB_API_KEY=sk-orca-...   # from https://www.orcarouter.ai/console

npx -y @orcadub/cli health npx -y @orcadub/cli upload --path ./clip.mp4 npx -y @orcadub/cli create --source-lang en --target-lang ja \ --url https://youtu.be/... --opt preserve_bgm=true npx -y @orcadub/cli get --video-id npx -y @orcadub/cli download --video-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:

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:

# Current project

npx -y @orcadub/cli skill install \ --platform claude --platform codex --scope project --lang en --yes

User-wide Codex installation

npx -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

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

Add to claude_desktop_config.json:

{

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

Codex CLI
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:

docker pull ghcr.io/continuum-ai-corp/orcadub-mcp-server:latest

claude 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:

{

"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:

# example: Linux amd64 via gh CLI

gh 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-server claude mcp add orcadub -e ORCADUB_API_KEY=sk-orca-... -- ~/bin/orcadub-mcp-server

From source
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-..." -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

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

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