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Orcadub MCP Server

by Continuum-AI-Corpversion 1.4.0i★ –iRuns on your computer
Registry nameio.github.Continuum-AI-Corp/orcadub-mcp-server

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio
  • You need to fill in: ORCADUB_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: ORCADUB_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

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

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Continuum-AI-Corp, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2795 servers in this category
  • Published to the registry more recently than 17% of the other 2795 servers in this category
  • Basic checks equal to or better than 100% of the other 2795 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Orcadub MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: ORCADUB_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.4.0) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

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

by GLipsWidely used↓ 161.2K/wk★ 16.2KUpdated 5 months ago

Runs on your computer

Claude Real Video

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

by HUANGCHIHHUNGLeoWidely used↓ 1.1K/wk★ 2.3KUpdated 2 months ago

Runs on your computer

Figma MCP Server

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

by figmaWidely used★ 2.2KUpdated 13 months ago

Runs in the cloud✓ mcp.figma.com

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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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