Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
제작자가 쓴 설명(영어 원문)
Local video editing for AI agents: cut, caption, analyse, reuse viral formats. FFmpeg, no cloud.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"wecut": {
"command": "npx",
"args": [
"-y",
"wecut",
"mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add wecut -- npx -y wecut mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"wecut": {
"command": "npx",
"args": [
"-y",
"wecut",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"wecut": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"wecut",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 13kailouis-stack 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.0)은 14일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
The Figma MCP server brings Figma design context directly into your AI workflow.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
WeCut is a free, open-source video editing engine for AI agents. The agent writes a small JSON project; wecut renders it with the FFmpeg already on the machine. It cuts, captions, reframes and mixes short-form video, and it can analyse a video that went viral and reuse its format as a template on new footage. CLI and MCP server. No cloud, no API key, no GPU, no telemetry.
Things you can ask an agent that has WeCut:
talk.mp4 and put the music under it, quieter when he speaks."npx -y wecut doctor # is FFmpeg ready?
npx -y wecut guide # the full guide for agents npx -y wecut probe media/talk.mp4 # duration, size, fps, audio npx -y wecut validate project.json # errors with JSON pointers and fix hints npx -y wecut preview project.json --at 1,5,9 # small JPG frames to look at npx -y wecut render project.json # out/clip.mp4 npx -y wecut mcp # the same, as an MCP server on stdio
Every command prints one JSON object on stdout. Exit codes: 0 ok, 2 invalid input, 3 missing dependency, 4 render failed, 5 over a limit.
WeCut Studio is an independent static web editor. Choose local clips, trim and reorder them, add text and music, then download a portable template for an agent on another device. Editing runs in the browser; rendering runs on the agent's computer. A public editor needs only static file hosting, not a rendering server. A localhost URL itself is not public.
Run python -m http.server 8770 --bind 127.0.0.1 --directory studio from this checkout and open http://127.0.0.1:8770. No build or backend is needed. The template file is shared through your agent chat; public template storage and project autosave are not included. Bundle import requires the 0.2.0 source/build; published npm 0.1.0 does not include it yet.
The quick way, for Claude Code, Claude Desktop, Codex, Cursor, Gemini CLI, Windsurf and Grok Build:
npx -y wecut setup # shows what it would change
npx -y wecut setup --apply # registers the MCP server and the skill, backs up each file it edits npx -y wecut setup --remove --apply
It only touches the clients it finds (or --client codex,cursor), keeps every other setting as it was, and reads each file back. Quit Claude Desktop before you run it: while it runs it can write its settings back and drop the entry. Run it again after updating WeCut, so the installed skill stays current. Or do it by hand:
WeCut needs FFmpeg 6 or newer with libass (npx -y wecut doctor checks it and says what to install):
sudo apt-get install -y ffmpegbrew install ffmpeg-full (the slim ffmpeg formula has no libass; WeCut finds ffmpeg-full on its own)winget install Gyan.FFmpegThen connect it to the agent you use. The MCP server works in a fixed workspace folder (--root, default: the folder it was started in); every media path is relative to it.
claude mcp add wecut -- npx -y wecut mcp
Or as a plugin, which also installs the WeCut skill:
/plugin marketplace add 13kailouis-stack/wecut
/plugin install wecut@wecut
Claude Desktop, Cursor, Windsurf, Cline, Roo Code, LM Studio and most other clients take this block in their MCP settings file. Give --root explicitly, because desktop apps start servers from an unpredictable folder.
{
"mcpServers": { "wecut": { "command": "npx", "args": ["-y", "wecut", "mcp", "--root", "/path/to/workspace"] } } }
code --add-mcp '{"name":"wecut","command":"npx","args":["-y","wecut","mcp"]}'
or in .vscode/mcp.json:
{ "servers": { "wecut": { "type": "stdio", "command": "npx", "args": ["-y", "wecut", "mcp"] } } }
codex mcp add wecut -- npx -y wecut mcp
or in ~/.codex/config.toml:
[mcp_servers.wecut]
command = "npx" args = ["-y", "wecut", "mcp"]
gemini extensions install https://github.com/13kailouis-stack/wecut
WeCut targets any agent with permission to run local programs and access the user's media. Product names do not determine compatibility: a terminal agent can use the CLI without MCP.
Grok Bot, Manus, Muse, OpenBot, Dots and Claude Duet are examples of requested integration targets, not a list of tested integrations. For each product, verify that its execution environment can run the WeCut binary and FFmpeg. A chat interface alone does not provide that access.
npx -y wecut guide # read this first: workflow, project format, templates
npx -y wecut doctor
Then follow the guide: probe, write project.json, validate, preview, render. In a fresh Linux sandbox install FFmpeg first with sudo apt-get install -y ffmpeg.
Clients that can launch a local MCP process can use wecut mcp over stdio; the client-specific examples above are not an allowlist. An HTTP-only MCP client needs a separate bridge: WeCut does not currently serve remote HTTP MCP. Browser-only agents need an execution environment before they can render. Node is needed for the npm launcher; a standalone binary does not need Node.
The skill in skills/wecut/SKILL.md teaches the workflow to agents that load skills (Claude Code, Claude apps, Codex, Cursor and others):
npx skills add 13kailouis-stack/wecut
npx -y wecut , or npm i -g wecut. npm installs only the binary for your platform (@wefluence/wecut- - ); there are no install scripts.SHA256SUMS.go build -o wecut ./cmd/wecutPrebuilt for Linux, macOS and Windows on x64 and arm64. Set WECUT_BINARY to use your own build through the npm launcher.
xfade), clip fadesgradients), like the dark fade behind captionsinset), colour washes for a stretch of the video, captions that light up word by word (reveal) with key words set apart (accent)--no-loudnorm skips it)wecut clone media/viral.mp4 --name news-card # -> recipes/news-card.json + out/clone/news-card/compare.jpg
clone turns a finished video into a template the way an editor would have built it: every cut and transition (flash, fade, dissolve, zoom, blur) at its exact time, each shot's framing (full screen, or shown whole on black or blurred bars) and push-in, the text cards with their colours, box, size, line spacing, padding, timing and entrance (fade, pop, slide or type), the caption style and position, the logo, and a talk that already plays under the opening B-roll. A steady beat is stored as beat indexes; recipe apply snaps those cuts onto replacement music. Each shot is a media slot, like a CapCut template. WeCut holds no model and no API key: it returns a review with the images and evidence behind each finding, and the agent running it looks and answers, so words, fonts, what each shot is and the kind of each transition come from real eyes and OCR is only a fallback. The comparison sheet puts the original beside the template filled with numbered stand-ins, so a person or a model can check it at a glance. People fill the slots in WeCut Studio; agents with wecut recipe apply. Details and the format: docs/clone.md. Cloning needs the 0.3.0 source/build; the published npm 0.1.0 does not have it yet.
wecut analyze media/viral.mp4 # shots, pace, hook, flashes, tempo, pauses + a frame sheet
wecut recipe list # templates: built-in and the workspace's recipes/*.json wecut recipe apply --input request.json # recipe + new clips, words, music -> project wecut recipe from-project my-edit.json --write recipes/my-style.json # "save as template"
analyze measures what a model cannot see in a transcript: where the cuts are (a white flash or a strobe counts once), how long the opening shot holds, whether cuts land on the beat, and whether the file ends with a silent platform outro. Its frame sheet, one frame per shot with timestamps, is how the agent reads the headline card, text style and framing.
A recipe (wecut.recipe/1, schema in schema/wecut.recipe.schema.json) is an edit's shape without its content: sections fed by roles (a 5 s hook with a headline card, then the body), text slots filled at apply time (with emphasis for the words to colour), caption and music style, effects on cuts. A recipe can carry its own default track, like a CapCut template; the music passed at apply time replaces it and "none" drops it. The built-in recipes copy the structure of formats that are common on Indonesian short-form video today: news-style reposts with a headline card, quote hooks, phrase-captioned vlogs, punched-in podcasts, photo slideshows.
Copy the structure, not the content: other creators' footage, wording and music stay theirs.
| Tool | Does |
|---|---|
wecut_doctor | checks FFmpeg, encoders and filters |
wecut_probe | duration, size, fps, audio of media files |
wecut_validate | checks a project; errors carry a JSON pointer and a hint |
wecut_preview | renders frames and returns them as images, so the model can look |
| wecut_render | renders M
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