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 file and media tools: images, PDF, audio, video, OCR, batch and metadata. Runs locally.
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": {
"lathe": {
"command": "uvx",
"args": [
"lathe-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add lathe -- uvx lathe-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"lathe": {
"command": "uvx",
"args": [
"lathe-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": {
"lathe": {
"type": "stdio",
"command": "uvx",
"args": [
"lathe-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 8일 점검
레지스트리 이름이 GitHub 계정 seayniclabs 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(0.4.1)은 11일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 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:↓ 주간 다운로드i★ 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.
Made by [Seaynic Labs](https://seayniclabs.com). Need tools like this built around your own systems? We do that.
Lathe is an MCP bundle for anyone who handles files and media. It gives your AI assistant local tools for images, PDFs, audio and video, and OCR, plus batch runs and metadata removal. The files stay on your machine.
It is a bundle: one server made of modules, each switched on or off. Modules that arrive in an update and are off by default stay off until you turn them on.
| Security card | |
|---|---|
| Network | None. Lathe makes no network connections, and ffmpeg and ffprobe are restricted to local files (-protocol_whitelist file,pipe). --transport http listens on 127.0.0.1 only when you start it that way. |
| Files | Reads and writes files only inside the working folder (LATHE_WORKING_DIR). Reads its optional config file (~/.config/lathe/config.toml). Writes one local approval log (~/.local/state/lathe/approvals.jsonl). |
| Secrets | No keys, accounts or passwords. Nothing to store, and nothing that leaves the machine. |
| Read-only tools | 8: image_info, pdf_info, pdf_extract_text, audio_info, video_info, ocr_image, health, lathe_modules |
| Writes new files | audio_convert, batch_process, image_convert, image_crop, image_optimize, image_resize, image_thumbnail, pdf_compress, pdf_merge, pdf_split, pdf_to_images, scrub_metadata, video_thumbnail, video_to_gif, video_trim: each call writes new files in the working folder and never overwrites an existing one unless the call passes overwrite=true. batch_process asks the person once per run of two or more files, and nothing else asks. |
| Startup cost | about 7,600 tokens for a default install (21 tools, 4 skill prompts) |
| Changes | Tool descriptions are locked by hash (tool-manifest.lock.json); CI fails if they change silently. |
| Module | What it does | On by default | Needs |
|---|---|---|---|
images | Info, resize, convert, optimize, crop, thumbnail | yes | Pillow (always installed) |
pdf | Info, text (OCR for scanned pages), merge, render pages, split, compress | yes | pdf extra; ghostscript for rendering |
media | Audio and video info, audio convert, a frame, trim, GIF | yes | ffmpeg and ffprobe |
ocr | Text from an image | yes | ocr extra; tesseract |
batch | One operation over every file matching a glob, dry run first | no | per operation (see above) |
privacy | Inspect and remove GPS, camera and author metadata | no | pdf extra, for PDFs |
Lathe is free and MIT licensed. It has 21 tools by default and 23 with batch and privacy on.
Skills explain how to do a job well. Your AI assistant reads them as Agent Skills, or as MCP prompts in any MCP app.
| Skill | Use it for |
|---|---|
getting-started | Setup, the install command for each missing piece, --doctor, and the approval rules |
pdf | Turning a Markdown file into a PDF with Chrome or Chromium |
pdf-forms | Making a PDF with fillable text boxes and checkboxes |
web-image-prep | Removing location data and shrinking a folder of photos for a website |
uvx --from "lathe-mcp[pdf,ocr]" lathe --version prints the version. Needs Python 3.11 or newer and uv.LATHE_WORKING_DIR to the folder with your files.lathe --doctor (uvx --from "lathe-mcp[pdf,ocr]" lathe --doctor). It prints ok or FIX for each piece and the command that fixes it.lathe_modules. It lists every module, what is on, and what is missing.Paste these into your assistant, after setting LATHE_WORKING_DIR:
Call lathe_modules and tell me which pieces are missing.Show me the metadata in photos/trip.jpg, then make a copy without it as photos/trip-clean.jpg. (needs LATHE_PRIVACY_ENABLED=true)Dry-run image_optimize on everything in photos/ into web/, then run it. (needs LATHE_BATCH_ENABLED=true)Split report.pdf into parts of 5 pages in parts/.Cut the first 10 seconds of clip.mp4 into clip-10s.mp4, then make a 5-second GIF from it.Lathe needs Python 3.11 or newer. With uv you don't install anything ahead of time. Choose the extras for the modules you use:
uvx --from lathe-mcp lathe --version # images, media and batch
uvx --from "lathe-mcp[pdf,ocr]" lathe --version # with PDF and OCR
Pinned to this release, for a repeatable setup:
uvx --from "lathe-mcp[pdf,ocr]==0.4.1" lathe --version
Or with pip:
pip install "lathe-mcp[pdf,ocr]"
Extras: pdf (pypdf), ocr (pytesseract), full (both). The images module needs nothing extra.
The repository is also a Claude Code plugin. Its .mcp.json pins lathe-mcp[pdf,ocr]==0.4.1, and it ships the skills in skills/. The plugin is one way to install; the MCP config below works in any client.
Lathe starts without these. lathe --doctor and the lathe_modules tool list what is missing and the command for your platform.
| Program | Used by | macOS | Debian / Ubuntu |
|---|---|---|---|
| ffmpeg (includes ffprobe) | media, batch (audio) | brew install ffmpeg | sudo apt install ffmpeg |
| tesseract | ocr, and pdf_extract_text on scanned pages | brew install tesseract | sudo apt install tesseract-ocr |
| ghostscript | pdf_to_images, batch (PDF) | brew install ghostscript | sudo apt install ghostscript |
Set these as environment variables in your MCP client's config, or in a config file. Lathe starts without any of them.
| Variable | What it is |
|---|---|
LATHE_WORKING_DIR | The folder Lathe reads from and writes to. Default: the folder the server starts in. |
LATHE_MAX_FILE_MB | Largest input file, in MB. Default 500. |
LATHE_OCR_LANG | Tesseract language code(s), e.g. eng or eng+fra. Default eng. |
LATHE_ _ENABLED | true or false. Default true for images, pdf, media and ocr; false for batch and privacy. |
LATHE_BATCH_PREAPPROVED | true lets a batch run of two or more files go ahead without the approval prompt. Default false. Set it only if your client cannot show approval prompts. |
LATHE_APPROVAL_LOG | Where the approval log is written. Default ~/.local/state/lathe/approvals.jsonl. |
Config file (optional). Lathe also reads ~/.config/lathe/config.toml, or the file named by LATHE_CONFIG. Environment variables win over the file.
[core]
working_dir = "/Users/you/Pictures"
[ocr] lang = "eng"
[batch] enabled = true
[privacy] enabled = true
Every client below runs Lathe as a local process over stdio. Put the env values only where you need them.
Claude Desktop: claude_desktop_config.json (Settings, Developer, Edit Config)
{
"mcpServers": { "lathe": { "command": "uvx", "args": ["--from", "lathe-mcp[pdf,ocr]", "lathe"], "env": { "LATHE_WORKING_DIR": "/path/to/your/files", "LATHE_BATCH_ENABLED": "true", "LATHE_PRIVACY_ENABLED": "true" } } } }
Claude Code
claude mcp add lathe -e LATHE_WORKING_DIR=/path/to/your/files -- uvx --from "lathe-mcp[pdf,ocr]" lathe
Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project
{
"mcpServers": { "lathe": { "command": "uvx", "args": ["--from", "lathe-mcp[pdf,ocr]", "lathe"], "env": { "LATHE_WORKING_DIR": "/path/to/your/files" } } } }
VS Code: .vscode/mcp.json (note "servers", not "mcpServers")
{
"servers": { "lathe": { "type": "stdio", "command": "uvx", "args": ["--from", "lathe-mcp[pdf,ocr]", "lathe"], "env": { "LATHE_WORKING_DIR": "/path/to/your/files" } } } }
Sonique, Hermes, OpenClaw, and other clients: any client that launches a stdio MCP server. Command uvx, arguments ["--from", "lathe-mcp[pdf,ocr]", "lathe"], plus the env values above.
Over HTTP. For clients that connect to a URL instead of starting a process:
lathe --transport http --port 8765
It serves streamable HTTP at http://127.0.0.1:8765/mcp. It listens only on your own machine by default. Put authentication in front of it before exposing it anywhere else.
| Tool | Module | What it does | Asks first |
|---|---|---|---|
health | core | Server version, working folder, and whether each external program is installed | no |
lathe_modules | core | Which modules are on, what is missing (with the install command), skills, and what each tool needs | no |
image_info | images | Width, height, format, mode, size, and EXIF tags | no |
image_resize | images | Resize by width, height or percentage, keeping the aspect ratio | no |
image_convert | images | Convert to png, jpeg, webp, avif or bmp | no |
image_optimize | images | Shrink for web delivery; metadata stripped unless strip_metadata=false | no |
image_crop | images | Crop a rectangle | no |
image_thumbnail | images | Fit inside a square | no |
pdf_info | Page count, size, encryption, title, author | no | |
pdf_extract_text | Text of the pages you name, or of the whole file; OCR for pages without a text layer; long text in parts | no | |
pdf_merge | Merge PDFs in order | no | |
pdf_to_images | Render pages to PNG or JPEG at a chosen DPI | no | |
pdf_split | Split into parts of N pages | no | |
pdf_compress | Lossless smaller copy: content streams and duplicate objects | no | |
audio_info | media | Duration, format, bitrate, sample rate, channels | no |
audio_convert | media | Convert to mp3, wav, flac, aac or ogg | no |
video_info | media | Duration, resolution, codec, frame rate, audio tracks | no |
video_thumbnail | media | Save one frame at a time in seconds | no |
video_trim | media | Cut a section (stream copy; cuts land on keyframes) | no |
video_to_gif | media | Animated GIF from up to 30 seconds of video | no |
ocr_image | ocr | Text from an image; long text in parts | no |
batch_process | batch | One operation over every matching file; dry run by default | yes, for runs of 2+ files |
scrub_metadata | privacy | Inspect (default), or write a copy without GPS, camera or author metadata | no |
Every tool returns structured data with a published schema. Long text comes in parts: pass next_offset back as offset. Errors always read lathe. . : Fix: .
Only batch_process asks, and only for a run of two or more files. The client shows the person one plan: the operation, the output folder, whether existing outputs may be replaced, the file count and up to ten file names. The person approves or declines once for the whole run. The model cannot answer for the person. A client that cannot show prompts gets approval_unavailable, with the setting that fixes it (LATHE_BATCH_PREAPPROVED=true).
Every other writing tool writes one new file per call without asking. None of them overwrites an existing file unless the call passes overwrite=true.
LATHE_WORKING_DIR. Inputs and outputs must stay inside it. Symlinks that point outside are refused.overwrite=true. An output can never be the input file.batch_process refuses an output folder t앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요