# orcadub-mcp-server

MCP server that automates video dubbing into other languages through OrcaRouter. It uploads footage, triggers the orca/dub model, polls progress, and downloads the final MP4.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 7
- Author: Continuum-AI-Corp
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/Continuum-AI-Corp/orcadub-mcp-server
- Updated: 2026-10-15
- HTML: https://affpapa.org/en/nevibecode/mcp/orcadub-mcp-server

## What it does

The server gives AI agents access to the `orca/dub` model via the OrcaRouter gateway. The workflow runs end to end. The agent takes a local clip or a video link, submits a translation job that keeps the speaker's original voice, monitors processing, and downloads the resulting MP4. The CLI package `@orcadub/cli` runs directly as an stdio server or inside a Docker container.

Each dubbing job accepts source and target languages alongside extra parameters. You can retain background music with `preserve_bgm`, disable watermarks, set `1080p` resolution, or inject custom glossary terms. Local filesystem access is required by `dub_upload` and `dub_download`. When running through Docker, you must mount the working directory using the `-v` option so the container sees your files.

Without an `ORCADUB_API_KEY`, tool calls will not process video. The server still boots up, yet every call redirects to the OrcaRouter console registration page. Billing depends on runtime: each minute of source video incurs charges.

## Requirements
- Needs: Node.js (commands run via npx)
- Environment variables: `ORCADUB_API_KEY` — keys and tokens: ask the human for the values, never commit them or put them in shared files.

## Install

### Claude Code (native platform)

**Platform CLI**
```bash
claude mcp add orcadub-mcp-server -e ORCADUB_API_KEY=<ORCADUB_API_KEY> -- npx -y @orcadub/cli
```
Replace <…> with your own values

### Codex

**Platform CLI**
```bash
codex mcp add orcadub-mcp-server --env ORCADUB_API_KEY=<ORCADUB_API_KEY> -- npx -y @orcadub/cli
```
Replace <…> with your own values

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "orcadub-mcp-server": {
            "command": "npx",
            "args": [
                "-y",
                "@orcadub/cli"
            ],
            "env": {
                "ORCADUB_API_KEY": "<ORCADUB_API_KEY>"
            }
        }
    }
}
```
Replace <…> with your own values

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "orcadub-mcp-server": {
            "type": "stdio",
            "command": "npx",
            "args": [
                "-y",
                "@orcadub/cli"
            ],
            "env": {
                "ORCADUB_API_KEY": "<ORCADUB_API_KEY>"
            }
        }
    }
}
```
Replace <…> with your own values

### Gemini CLI

**Platform CLI**
```bash
gemini mcp add -e ORCADUB_API_KEY=<ORCADUB_API_KEY> orcadub-mcp-server npx -y @orcadub/cli
```
Replace <…> with your own values

## When to use it
- translate spoken video audio while preserving the original voice
- keep background music intact during dubbing via `preserve_bgm`
- automate video uploading, job polling, and MP4 downloading inside agent workflows
- connect the `orca/dub` pipeline to coding assistants over stdio or Docker

## Example prompts
- Dub `./clip.mp4` from English to Japanese with `orca/dub` and keep the background music.
- Upload `./clip.mp4`, start dubbing into Chinese, and save the result to `./out.mp4`.
- Check the status of dubbing job `<id>` and download the finished video to `./out.mp4`.

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