Orcadub Mcp Server

io.github.Continuum-AI-CorpPublished by GitHub account Continuum-AI-Corpv1.4.0Updated Oct 24, 2026

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

VerifiedSTDIODesktop onlyMedia & DesignAI & ML

Overview

AI-generated overview

OrcaDub's official MCP server that lets an agent dub a video into another language via the OrcaRouter orca/dub model, then download the finished MP4.

What you can do
  • Check gateway and model routing health without creating or billing a job
  • Upload a local video file (chunked above 64 MiB, up to 8 GiB) and get a file_id
  • Submit a dubbing job from a file_id or a URL, with source and target language plus optional glossaries, style, lipsync, watermark and resolution settings
  • Poll job status and progress until completed or failed, and read the delivery address
  • Save the finished MP4 to a local path without overwriting existing files
When to use it
Useful when you want an agent to translate spoken content in a video into one of the supported languages while keeping the original voice, driven from Claude Code, Claude Desktop, Codex CLI, Cursor, Windsurf or another stdio MCP host.
Requirements
Runs locally as a stdio process, typically via npx @orcadub/cli, a Docker image, a prebuilt binary or a source build; Node.js is needed for the npx route. Requires an OrcaRouter API key supplied in the ORCADUB_API_KEY environment variable, and network access to the fixed OrcaRouter gateway. Upload and download tools read and write local paths, so a container needs the directory mounted.
Before you install
Every tool call is authenticated with ORCADUB_API_KEY, which the gateway uses to resolve workspace and billing. Dubbing jobs are billed per minute of source video, so dub_create spends money and needs sufficient credit. Uploaded files and source URLs are sent to the OrcaRouter gateway for processing. dub_download writes files to local paths, and the returned content_url is a bearer-authenticated link that never expires.

Installation

In SourceWeft

  1. Open Orcadub Mcp Server in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

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

Source: README.md at commit 14de090

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.4.0LatestSep 16, 2026

Score

50% of the applicable checks met

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  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

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  • Tools listed15 pts

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  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts