computer-visionimage-processingocrobject-detectionopencv
Local computer vision MCP server for image recognition, editing, and processing without external uploads.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
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Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Choose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Overview
Use cases
Crop, resize, or rotate images with precision
Remove backgrounds from images locally
Detect objects or extract text from images using OCR
Draw shapes, text, logos, or watermarks on images
Overlay images or fill areas with color or transparency
Key features
Local image processing with OpenCV and pre-trained models
Object detection with segmentation masks or polygons
Optical Character Recognition (OCR) using EasyOCR
Drawing tools for arrows, circles, lines, rectangles, and text
Image transformation tools: crop, resize, rotate, color changes
Background removal and area filling with color or transparency
Capabilities & Tool Schemas
Inspect callable tools, capabilities, and parameters exposed to AI agents by Imagesorcery MCP.
Extracted Tool Capabilities
Local image processing with OpenCV and pre-trained models
Object detection with segmentation masks or polygons
Optical Character Recognition (OCR) using EasyOCR
Drawing tools for arrows, circles, lines, rectangles, and text
Image transformation tools: crop, resize, rotate, color changes
Background removal and area filling with color or transparency
Documentation Overview
🪄 ImageSorcery MCP
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
photosto folderpets"
"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.jpgwithfoduucom/web-form-ui-field-detectionmodel and fill theform.mdwith 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'" |
😉 Hint: detailed information and usage instructions for each tool can be found in the tool's /src/imagesorcery_mcp/tools/README.md.
📚 Available Resources
| Resource URI | Description | Example Prompt |
|---|---|---|
models://list | Lists all available models in the models directory | "Which models are available in ImageSorcery?" |
😉 Hint: detailed information and usage instructions for each resource can be found in the resource's /src/imagesorcery_mcp/resources/README.md.
💬 Available Prompts
| Prompt Name | Description | Example Usage |
|---|---|---|
remove-background | Guides the AI through a comprehensive background removal workflow using object detection and masking tools | "Use the remove-background prompt to remove the background from my photo 'portrait.jpg', keeping only the person" |
😉 Hint: detailed information and usage instructions for each prompt can be found in the prompt's /src/imagesorcery_mcp/prompts/README.md.
🚀 Getting Started
Requirements
Python 3.10or higherpipx(recommended) - for easy installation and virtual environment managementffmpeg,libsm6,libxext6,libgl1-mesa-glx- system libraries required by OpenCVClaude.app,Cline, or another MCP client
Virtual environments (e.g. Docker)
These dependencies are typically included with OpenCV installation and don't require separate installation. But they might be missing in some virtual environments like Docker.
For Ubuntu/Debian systems:
For Docker containers: Add this line to your Dockerfile:
Installation
For Cline just copy-paste LLM-INSTALL.md
Method 1: Using pipx (Recommended)
pipx is the recommended way to install ImageSorcery MCP as it automatically handles virtual environment creation and management, making the installation process much simpler.
0. Install pipx (if not already installed):
- Install pipx (if not already installed):
-
Install ImageSorcery MCP with pipx:
-
Run the post-installation script: This step is crucial. It downloads the required models and attempts to install the
clipPython package from GitHub.
Method 2: Manual Virtual Environment (Plan B)
If pipx doesn't work for your system, you can manually create a virtual environment
For reliable installation of all components, especially the clip package (installed via the post-install script), it is strongly recommended to use Python's built-in venv module instead of uv venv.
-
Create and activate a virtual environment:
-
Install the package into the activated virtual environment: You can use
piporuv pip.
Related MCP Servers
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Scanned 22d ago via OSV.dev · imagesorcery-mcp (PyPI)
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