Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
AI video dubbing via OrcaRouter (model orca/dub): upload a video or URL, poll, download the MP4.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
ORCADUB_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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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/cliFill in the empty values before running it.
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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account Continuum-AI-Corp, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: ORCADUB_API_KEY
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).
The GitHub repo last changed –, and the latest version (1.4.0) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
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
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
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.
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.
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.
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).
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:
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
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.
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=…"*
An OrcaRouter API key is required — every tool call is authenticated:
sk-orca-...).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.
claude mcp add orcadub -e ORCADUB_API_KEY=sk-orca-... -- npx -y @orcadub/cli
Add to claude_desktop_config.json:
{
"mcpServers": { "orcadub": { "command": "npx", "args": ["-y", "@orcadub/cli"], "env": { "ORCADUB_API_KEY": "sk-orca-..." } } } }
codex mcp add orcadub --env ORCADUB_API_KEY=sk-orca-... -- npx -y @orcadub/cli
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/.
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.
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
git clone https://github.com/Continuum-AI-Corp/orcadub-mcp-server && cd orcadub-mcp-server && make build
| Environment variable | Required | Description |
|---|---|---|
ORCADUB_API_KEY | yes | OrcaRouter 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.
| Tool | Description | |
|---|---|---|
dub_health | End-to-end probe of gateway → orca/dub routing. No job is created, nothing is billed. | |
dub_upload | Upload a local video file; returns the file_id for dub_create. Files above 64 MiB are chunked automatically (up to 8 GiB). | |
dub_create | Submit 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_get | Poll 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_download | Save 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.
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"}}.
| Symptom | Cause / fix |
|---|---|
Tool calls return not authorized … www.orcarouter.ai/console | ORCADUB_API_KEY is unset — register, export the key, restart the session. |
401 | Invalid or expired key — re-issue on the OrcaRouter console. |
402 insufficient_credit | Top up your OrcaRouter balance (per-minute billing). |
429 free_quota_exceeded | Free-tier limit reached. |
task_not_exist on dub_get | The id wasn't created through this gateway — use the id exactly as returned by dub_create. |
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).
git tag v0.1.0 && git push origin v0.1.0.npm-publish job stamps the tag version into npm/package.json and publishes @orcadub/cli to npm (requires the NPM_TOKEN repo secret).server.json and publishes it to the MCP Registry.MIT