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sunriseapps/imagesorcery-mcp

sunriseapps/imagesorcery-mcp

🐍 🏠 🐧 🍎 🪟 - Computer vision-based image recognition and editing tools
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add imagesorcery-mcp -- npx -y imagesorcery-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
333 ★ · sunriseapps/imagesorcery-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 10 个来源列出
评分构成
综合分 1,003 · 333 ★ · 10 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 sunriseapps/imagesorcery-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

🪄 ImageSorcery MCP

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**ComputerVision-based 🪄 sorcery of local image recognition and editing tools for AI assistants**
Official website: imagesorcery.net
✅ With ImageSorcery MCP
🪄 ImageSorcery empowers AI assistants with powerful image processing capabilities:
- ✅ Crop, resize, and rotate images with precision
- ✅ Remove background
- ✅ Draw text and shapes on images
- ✅ Add logos and watermarks
- ✅ Detect objects using state-of-the-art models
- ✅ Extract text from images with OCR
- ✅ Use a wide range of pre-trained models for object detection, OCR, and more
- ✅ Do all of this **locally**, without sending your images to any servers
Just ask your AI to help with image tasks:
> "copy photos with pets from folder photos to folder pets"
> "Find a cat at the photo.jpg and crop the image in a half in height and width to make the cat be centered"
😉 _**Hint:** Use full path to your files"._
> "Enumerate form fields on this form.jpg with foduucom/web-form-ui-field-detection model and fill the form.md with a list of described fields"
😉 _**Hint:** Specify the model and the confidence"._
😉 _**Hint:** Add "use imagesorcery" to make sure it will use the proper tool"._
Your tool will combine multiple tools listed below to achieve your goal.
🛠️ Available Tools
| Tool | Description | Example Prompt |
|------|-------------|----------------|
| blur | Blurs specified rectangular or polygonal areas of an image using OpenCV. Can also invert the provided areas e.g. to blur background. | "Blur the area from (150, 100) to (250, 200) with a blur strength of 21 in my image 'test_image.png' and save it as 'output.png'" |
| change_color | Changes the color palette of an image | "Convert my image 'test_image.png' to sepia and save it as 'output.png'" |
| config | View and update ImageSorcery MCP configuration settings | "Show me the current configuration" or "Set the default detection confidence to 0.8" |
| crop | Crops an image using OpenCV's NumPy slicing approach | "Crop my image 'input.png' from coordinates (10,10) to (200,200) and save it as 'cropped.png'" |
| detect | Detects objects in an image using models from Ultralytics. Can return segmentation masks (as PNG files) or polygons. | "Detect objects in my image 'photo.jpg' with a confidence threshold of 0.4" |
| draw_arrows | Draws arrows on an image using OpenCV | "Draw a red arrow from (50,50) to (150,100) on my image 'photo.jpg'" |
| draw_circles | Draws circles on an image using OpenCV | "Draw a red circle with center (100,100) and radius 50 on my image 'photo.jpg'" |
| draw_lines | Draws lines on an image using OpenCV | "Draw a red line from (50,50) to (150,100) on my image 'photo.jpg'" |
| draw_rectangles | Draws rectangles on an image using OpenCV | "Draw a red rectangle from (50,50) to (150,100) and a filled blue rectangle from (200,150) to (300,250) on my image 'photo.jpg'" |
| draw_texts | Draws text on an image using OpenCV | "Add text 'Hello World' at position (50,50) and 'Copyright 2023' at the bottom right corner of my image 'photo.jpg'" |
| fill | Fills specified rectangular, polygonal, or mask-based areas of an image with a color and opacity, or makes them transparent. Can also invert the provided areas e.g. to remove background. | "Fill the area from (150, 100) to (250, 200) with semi-transparent red in my image 'test_image.png'" |
| find | Finds objects in an image based on a text description. Can return segmentation masks (as PNG files) or polygons. | "Find all dogs in my image 'photo.jpg' with a confidence threshold of 0.4" |
| get_metainfo | Gets metadata information about an image file | "Get metadata information about my image 'photo.jpg'" |
| ocr | Performs Optical Character Recognition (OCR) on an image using EasyOCR | "Extract text from my image 'document.jpg' using OCR with English language" |
| overlay | Overlays one image on top of another, handling transparency | "Overlay 'logo.png' on top of 'background.jpg' at position (10, 10)" |
| resize | Resizes an image using OpenCV | "Resize my image 'photo.jpg' to 800x600 pixels and save it as 'resized_photo.jpg'" |
| rotate | Rotates an image using imutils.rotate_bound function | "Rotate my image 'photo.jpg' by 45 degrees and save it as 'rotated_photo.jpg'" |
来源
awesome · https://github.com/sunriseapps/imagesorcery-mcp
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