Pascal 3D Editor
Create, inspect, validate, and save editable 3D building scenes with Pascal's MCP server.
Resize, convert, compress, crop and thumbnail images, and strip EXIF and GPS metadata.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
검사 5/5 통과 · 내가 묻는 내용은 제작자 서버(mcp.zovo.one)를 거쳐요 · ✓ 명령 확인 2026년 11월 13일
먼저: 어떤 AI를 쓰시나요?
쓰는 앱을 고르면 아래에 단계가 나옵니다.
Claude에 연결할 수 있어요 · 약 2분
키 필요 없음, 설치 필요 없음 · claude.ai나 데스크톱 앱에서 한 번 설정하면 채팅에서 쓸 수 있어요 · 무료 계정은 1개까지 · Team/Enterprise는 소유자(Owner)가 추가
CustomizeConnectors
여기서 복사해 Claude의 같은 이름 칸에 붙여 넣고 Continue를 누르세요
McpStamp Image Toolshttps://mcp.zovo.one/mcp/imageClaude가 찾은 로그인 설정 화면에서 Continue를 누르고 · Authentication은 제작자 안내대로(Sign in now, Sign in when needed, No sign in) 고른 뒤 Add를 누르세요
+ConnectorsMcpStamp Image Tools
McpStamp Image Tools을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ Claude가 McpStamp Image Tools을 쓰고 있다고 하거나 답에 McpStamp Image Tools 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 Anthropic 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
ChatGPT 연결은 요금제에 따라 달라요
전체 MCP: 웹 ChatGPT Business, Enterprise, Edu · Pro: 읽기/가져오기 권한으로 연결, 데이터를 바꾸는 도구는 안 될 수 있어요 · Plus: 공식 문서 미확인, 플러그인 화면에 사용자 지정 MCP 추가 항목이 보이면 시도해 볼 수 있어요 · 웹만
Plugins+Add custom MCP server
이름을 넣고 Connection에 주소를 붙여 넣은 뒤 경고에 체크하고 Create as a plugin을 누르세요
McpStamp Image Toolshttps://mcp.zovo.one/mcp/image새 채팅을 열고 입력 전에 플러그인 목록에서 McpStamp Image Tools을 고르세요
McpStamp Image Tools을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ ChatGPT가 McpStamp Image Tools을 쓰고 있다고 하거나 답에 McpStamp Image Tools 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 OpenAI 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
Claude Code에 연결할 수 있어요 · 약 2분
키 필요 없음, 설치 필요 없음
Mac: Command+스페이스를 누르고 Terminal 입력 · Windows: PowerShell 열기
claude mcp add --transport http --scope user image-resize-convert-compress-watermark https://mcp.zovo.one/mcp/imageMcpStamp Image Tools이 목록에 있고 연결됨으로 보이면 돼요
McpStamp Image Tools을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ Claude Code가 McpStamp Image Tools을 쓰고 있다고 하거나 답에 McpStamp Image Tools 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 Anthropic 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
Cursor에 연결할 수 있어요 · 약 2분
키 필요 없음, 설치 필요 없음
McpStamp Image Tools을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ Cursor가 McpStamp Image Tools을 쓰고 있다고 하거나 답에 McpStamp Image Tools 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 Cursor 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
VS Code에 연결할 수 있어요 · 약 2분
키 필요 없음, 설치 필요 없음
McpStamp Image Tools을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ VS Code가 McpStamp Image Tools을 쓰고 있다고 하거나 답에 McpStamp Image Tools 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 VS Code 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
Windsurf, Zed, Gemini CLI 같은 다른 MCP 앱은 추가 방법이 저마다 달라요. 앱 목록에서 확인하세요
웹으로 연결하는 앱용 주소
https://mcp.zovo.one/mcp/imageJSON 설정은 아래 “개발자용”에 있어요
Claude Code
claude mcp add --transport http --scope user image-resize-convert-compress-watermark https://mcp.zovo.one/mcp/imageCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"image-resize-convert-compress-watermark": {
"url": "https://mcp.zovo.one/mcp/image"
}
}
}VS Code (mcp.json)
{
"servers": {
"image-resize-convert-compress-watermark": {
"type": "http",
"url": "https://mcp.zovo.one/mcp/image"
}
}
}MCP_LICENSE_KEY 비밀 env설명은 아직 영어 원문입니다.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
mcpb: …/image.mcpb이 서버의 연결 방식과 각 앱의 공식 문서를 바탕으로 했어요. 2026년 11월 10일 확인.
인터넷으로 연결하는 앱
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
내 컴퓨터에서 실행하는 앱
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
도구 이름과 설명은 서버가 2026년 11월 11일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
image_infoCall this tool to inspect an image: format, pixel dimensions, megapixels, file size in bytes, and whether it carries an alpha channel. Read-only, never modifies the file. Free tier: unlimited, any size.
image_resizeCall this tool to write a resized copy. fit inside keeps aspect; cover fills and crops; exact stretches. One of width/height alone keeps aspect. Input untouched. Free: sources up to 4 MP.
image_convertCall this tool to re-encode an image as PNG, JPEG, BMP, GIF or TIFF. quality is JPEG-only. Transparency converted to JPEG flattens onto white; the answer says so. Free tier: sources up to 4 MP.
image_compressCall this tool to re-encode an image smaller and report byte counts before/after. quality (default 80) applies to JPEG; for PNG only max_width shrinks it, and the answer names which one worked. Free: sources up to 4 MP.
image_cropCall this tool to cut a rectangle out of an image. x, y are the top-left corner in pixels from the image's top-left. A rectangle past an edge is refused with the image's real size, not clamped. Free: sources up to 4 MP.
image_thumbnailsCall this tool to write one thumbnail per input into out_dir as -thumb. , fit inside size by size, aspect kept. Paths are reserved before writing, so a collision leaves nothing half-done. Free: 5/call, 4 MP.
image_watermarkNot available on this hosted endpoint: the watermark is drawn with bitmap font files loaded from a filesystem, which this endpoint does not have. Watermark on a local install instead - download image.mcpb from https://github.com/theluckystrike/mcp-servers/releases/latest and open
image_strip_metadataCall this tool to write a copy carrying pixels and nothing else: it decodes and re-encodes from raw pixels, so EXIF, GPS, camera, capture time, XMP and colour-profile data are dropped. Free tier: sources up to 4 MP.
image_batch_resizeCall this tool to resize every image in paths at once, keeping aspect ratio, each named - x . . One of width/height lets the other follow; with both, each fits inside the box. Free: 5 files a call, 4 MP.
image_dominant_colorsCall this tool to read the colours covering most of an image, as hex codes with each one's pixel share. Sampled from a 200 px copy, so cost is fixed. Read-only. Free gives the top 3; Pro up to 16.
license_statusReport this endpoint's licence state for your token as JSON: the product, the tier free or pro, why it is not Pro, and the checkout URL. Call it to explain a free-tier refusal. No arguments, nothing changes.
license_activateTurn Pro on for this connection with key, an MCPL1. . issued at checkout for this server or the bundle. Data under your token stays; a wrong or expired key changes nothing. license_status confirms it.
image_uploadSend an image to this hosted endpoint. There is no filesystem here, so instead of a path you upload the file once with image_upload and then pass its name as `path` (or inside `paths`) to image_info, image_resize, image_convert, image_compress, image_crop, image_thumbnails, image
image_filesList the images stored for your token: what you uploaded, and what this server has written, with their sizes.
image_delete_uploadDelete one image stored for your token, uploaded or generated: name is the name it is stored under. image_files lists them. A name nothing is stored under is refused and nothing is deleted.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 15일 점검
레지스트리 이름이 GitHub 계정 theluckystrike 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
코드 마지막 변경: 어제
MIT 사용
58ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 15개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
질문하고, 팁을 나누고, 안 되는 점을 알려 주세요. "도움이 됨"이 많은 순서예요.
아직 리뷰가 없어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 5개 중 5개를 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.
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 어제 변경됐고, 최신 버전(0.23.0)은 13일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되므로 원격 MCP를 받는 앱에서도 쓸 수 있어요. 예: 웹 ChatGPT(Business 이상은 전체 MCP, Pro는 읽기 전용).
같은 카테고리에는: Pascal 3D Editor, Figma MCP Server, Remocn: Remotion MCP server, Harness, ChatCut
같은 카테고리, 다른 제작자, 명령 확인 완료. 공식이 먼저, 그다음 스타 순.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Create, inspect, validate, and save editable 3D building scenes with Pascal's MCP server.
The Figma MCP server brings Figma design context directly into your AI workflow.
Hosted MCP for Remotion videos: search Remocn components, read docs, plan a video, preview it.
Start Claude Code and Codex agents the person can watch, wait for them and read their answers.
AI video editor for agents: cut footage, add captions and motion graphics, export editable edits.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Say "make these five photos 1200 pixels wide" or "shrink this screenshot and strip the GPS out of it" and it happens, on your machine, in a second. This MCP server does the small image jobs that otherwise send you to a web uploader: resize, convert between PNG, JPEG, BMP, GIF and TIFF, compress with a real before-and-after byte count, crop, thumbnail a folder, watermark with your business name, and drop the EXIF block a phone camera writes into every photo. No upload, no account, no native dependency, no image editor.
In the [official MCP Registry](https://registry.modelcontextprotocol.io/v0.1/servers/io.github.theluckystrike%2Fimage-resize-convert-compress-watermark/versions/latest) (io.github.theluckystrike/image-resize-convert-compress-watermark).
Listed on the [AI Product Index](https://index.percall.dev/l/zovo-image.html) - live remote endpoint at mcp.zovo.one/s/image, free tier, no signup.
The image chores of a freelance business, done from chat instead of from a browser tab you would rather not hand a client photo to.
npm publish for @theluckystrike/mcp-image is pending. Until then, the .mcpb one-click bundle or a clone+build is the working path, both are verified below.
One-click (.mcpb): download image.mcpb from the latest release and double-click it in Claude Desktop: https://github.com/theluckystrike/mcp-servers/releases/latest
(claude_desktop_config.json):
{
"mcpServers": { "image": { "command": "npx", "args": ["-y", "@theluckystrike/mcp-image"] } } }
Claude Code:
claude mcp add image -- npx -y @theluckystrike/mcp-image
(.cursor/mcp.json):
{
"mcpServers": { "image": { "command": "npx", "args": ["-y", "@theluckystrike/mcp-image"] } } }
The npx form above starts working the moment the package is published. Until then, use the .mcpb bundle above, or build from source with exactly these three commands:
git clone https://github.com/theluckystrike/mcp-servers.git && cd mcp-servers
npm install npm run build -w packages/mcp-license -w servers/image
Then point your client's command at node with one arg: the absolute path to servers/image/dist/index.js.
To run in Pro mode set MCP_LICENSE_KEY in the same config block, or call license_activate once with your key.
| Tool | What it does |
|---|---|
image_info | Format, pixel dimensions, megapixels, aspect ratio, file size in bytes, whether the image carries an alpha channel, and the bytes it spends per pixel |
image_resize | A resized copy. inside fits within the box and keeps the ratio, cover fills the box and crops the overflow, exact stretches. Give one of width or height and the other follows |
image_convert | Re-encode as PNG, JPEG, BMP, GIF or TIFF. Transparency going to JPEG is flattened onto white, and the answer says so |
image_compress | Smaller bytes, with the count before and after and the percentage saved. quality (default 80), max_width, and max_bytes to hit a size target in one call |
image_crop | Cut a rectangle: x, y from the top-left, width, height. A rectangle past an edge is refused with the real size, never clamped |
image_thumbnails | One thumbnail per file into out_dir, each fitting inside size by size and keeping its aspect ratio |
image_watermark | Text over the image at a corner and an opacity, white on a translucent plate. With no text, your business name from the shared profile mcp-invoice and mcp-docx write |
image_strip_metadata | A copy with pixels and nothing else: EXIF, GPS, camera, capture time, XMP and colour profiles are not carried across |
image_batch_resize | Resize a whole list into out_dir, each keeping its own aspect ratio, named - x . |
image_dominant_colors | The colours that cover most of an image, as hex codes with the share of pixels each covers. Free: 3; Pro: up to 16 |
license_status | Show free or Pro mode |
license_activate | Activate a Pro key (verified offline) |
Resource: image://recent returns the last 25 operations, newest first, with the inputs, the files written and when. Prompt: prepare_for_web takes a camera-sized image down to a page-sized JPEG, drops the metadata that came with it, and reports the bytes saved.
| You say | Tool |
|---|---|
| "How big is this image, and does it have transparency?" | image_info |
| "Make this 1200 pixels wide." | image_resize |
| "Turn this PNG into a JPEG." | image_convert |
| "This photo is 8 MB, get it under a megabyte." | image_compress |
| "Crop the top banner out of this screenshot." | image_crop |
| "Make thumbnails of everything in this folder." | image_thumbnails |
| "Put my company name in the corner of this photo." | image_watermark |
| "Strip the GPS coordinates before I send this." | image_strip_metadata |
| "Resize all of these to 1600 wide." | image_batch_resize |
| "What colours is this logo built from?" | image_dominant_colors |
| "Get this ready for the website." | prepare_for_web prompt |
You: This photo is too big for the site. Get it to 1600 wide and drop the metadata.
image_info { path: "~/photos/DSC_0491.jpg" } -> 6000x4000, 24 MP, JPEG, 8.4 MB, no alpha
image_compress { path: "~/photos/DSC_0491.jpg", max_width: 1600, quality: 80, max_bytes: 256000, out_path: "~/photos/DSC_0491-web.jpg" } -> 8.4 MB -> 243.7 KB (8809124 -> 249556 bytes, -97.2%) -> Method: JPEG quality 62 (searched down from 80 in 5 encodes to fit 250.0 KB) and a resize to 1600 px wide -> ~/photos/DSC_0491-web.jpg, 1600x1067, JPEG
The JPEG re-encode also drops the EXIF block the camera wrote, including the GPS coordinates. The original file is byte-for-byte unchanged.
| Free | Pro | |
|---|---|---|
image_info | Unlimited, at any size | Unlimited |
image_resize, image_convert, image_compress, image_crop | Any source, writing outputs up to 4 MP (2000x2000 and a bit) | Any size, up to the 50 MB / 10,000 px input caps |
image_strip_metadata | Any size | Any size |
image_thumbnails, image_batch_resize | Up to 5 files per call, outputs up to 4 MP each | Any number of files, any size |
image_watermark | Your business name from the shared profile | Any text you pass |
image_dominant_colors | The top 3 colours | Up to 16 |
The free limit is on what gets written, not on what gets read: a 12 MP phone photo taken down to 1600 px wide is a free call, because that is the job. Writing 12 MP back out again is the Pro one.
A tier limit is an answer, not an error, and nothing is written when one refuses a call.
Pro is a one-time $19, or $39 for every server in the collection, lifetime.
quality is a JPEG parameter, and only a JPEG parameterThis is the one thing about image compression that surprises people, so the server says it in its own answer rather than accepting a number and quietly doing nothing with it. A JPEG throws away detail to get smaller, and quality is the dial for how much. A PNG is lossless: there is no dial. Passing quality: 40 to a PNG output does not make a PNG 60% smaller, it makes exactly the same PNG.
So the output format follows the extension of your out_path, and that is the lever:
out_path: "shot-small.jpg", quality applies, and a photo typically drops 80-95%.out_path: "shot-small.png", quality is reported as not applicable, and only max_width removes bytes.Palette quantisation was measured as an alternative for PNG and rejected: re-encoding a 300x220 noisy PNG through a 16-colour quantiser produced a larger file (115,451 bytes against 39,262), because the encoder here writes RGBA either way and quantising only destroys the row-to-row similarity that the deflate step was exploiting. A tool that claims to compress and returns a bigger file is worse than a tool that says which knob exists.
image_compress therefore always reports the byte count before and after, the percentage, and the method that did the work, and, if the output came out larger, it says so and tells you to keep the original.
A 4 KB PNG can declare that it is 20,000 by 20,000 pixels. Decoding it allocates 1.6 GB of RGBA and takes the process down before any size check written after the decode could ever run. So the declared dimensions are read out of the container header, PNG IHDR, the JPEG SOF segment, the GIF logical screen descriptor, the BMP info header, the first TIFF IFD, and a file over 10,000 px on a side is refused there, with the memory it would have taken named in the message:
Error: /path/bomb.png declares 20000x20000 pixels in its PNG header and was refused before decoding:
this server caps a side at 10000 px. A small file that declares an enormous canvas is a decompression bomb - decoding it would allocate 1526 MB of RGBA. Nothing was decoded.
The decoded size is checked again afterwards, because a header probe can come back empty on an unusual TIFF, and a guard that only sometimes runs is not a guard.
Every tool writes a new file and leaves its inputs byte-for-byte alone, there is no in-place mode, on purpose. An out_path that already exists is refused:
Error: /path/shot-small.png already exists and nothing was written.
Pass overwrite: true to replace it, or give a different out_path.
The path is reserved with an exclusive create, not an existence check, so two processes writing the same out_path at the same time cannot clobber each other: one wins, the other is refused and writes nothing. image_thumbnails and image_batch_resize reserve every one of their output paths before writing any of them, so a collision on file 3 does not leave files 1 and 2 behind as a half-done batch, and the reservations are released, so nothing empty is left on disk either.
Pass overwrite: true when replacing the file is what you want.
overwrite: true still does not let an output be an input. Writing a result back over one of its own sources destroys that source, the pixels are already decoded in memory and get written over the file they came from, so a 4000 px original becomes the 512 px thumbnail and every later read of that path is quietly wrong. So an out_path that resolves to (or shares an inode with) any input of the same call is refused before any work happens.
image_strip_metadata decodes the image and re-encodes it from the raw pixels. EXIF, GPS coordinates, the camera and lens, the capture time, XMP packets and embedded colour profiles are not removed one by one, they are simply never handed to the encoder, so they cannot come out the other side. Two consequences worth knowing: