🪄 ImageSorcery MCP
@sunriseapps
About 🪄 ImageSorcery MCP
An MCP server providing tools for image processing operations
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"imagesorcery-mcp": {
"command": "/full/path/to/venv/bin/imagesorcery-mcp",
"transportType": "stdio",
"autoApprove": [
"blur",
"change_color",
"crop",
"detect",
"draw_arrows",
"draw_circles",
"draw_rectangles",
"draw_texts",
"find",
"get_metainfo",
"get_models",
"ocr",
"resize",
"rotate"
],
"timeout": 100
}
}
}Tools
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Overview
What is 🪄 ImageSorcery MCP?
🪄 ImageSorcery MCP is a local image recognition and editing server for AI assistants, built on ComputerVision and the Model Context Protocol. It processes images entirely on-device, never sending them to any external servers, and works with Claude, Cursor, and Cline.
How to use 🪄 ImageSorcery MCP?
Install with pipx install imagesorcery-mcp, then run imagesorcery-mcp --post-install to download models and dependencies. Configure your MCP client to execute the imagesorcery-mcp command (e.g., in the mcpServers object). Once set up, prompt your AI with image tasks such as "crop my image" or "detect objects," and it will invoke the relevant tools automatically.
Key features of 🪄 ImageSorcery MCP
- Crop, resize, and rotate images with precision
- Remove background and add logos or watermarks
- Draw text, arrows, circles, lines, and rectangles
- Detect objects and find objects by text description
- Extract text via OCR (Optical Character Recognition)
- All processing stays local—no images sent to servers
Use cases of 🪄 ImageSorcery MCP
- Automatically copy photos containing pets into a separate folder
- Crop and center an object (e.g., a cat) in an image
- Enumerate and describe form fields from a scanned document
- Remove background from portraits or product photos
- Overlay logos or watermarks onto batches of images
FAQ from 🪄 ImageSorcery MCP
What does the post-installation script do?
It creates a configuration file (config.toml), downloads default YOLO and CLIP models for detection and text-based finding, and attempts to install the clip package from GitHub.
Which system dependencies are required?
OpenCV requires ffmpeg, libsm6, libxext6, and libgl1-mesa-glx (installable via apt on Linux; typically included in non-virtual environments).
How do I install if pipx is not available?
Create a Python virtual environment (Python ≥3.10), activate it, run pip install imagesorcery-mcp, then imagesorcery-mcp --post-install. Use the full path to the executable in your MCP client configuration.
What MCP clients are supported?
🪄 ImageSorcery MCP works with Claude.app, Cursor, Cline, and any other MCP-compatible client.
Does the server transmit my images anywhere?
No. All image processing (crop, detect, OCR, etc.) runs locally on your machine. Images never leave your environment.
Frequently asked questions
What does the post-installation script do?
It creates a configuration file (`config.toml`), downloads default YOLO and CLIP models for detection and text-based finding, and attempts to install the `clip` package from GitHub.
Which system dependencies are required?
OpenCV requires `ffmpeg`, `libsm6`, `libxext6`, and `libgl1-mesa-glx` (installable via apt on Linux; typically included in non-virtual environments).
How do I install if pipx is not available?
Create a Python virtual environment (Python ≥3.10), activate it, run `pip install imagesorcery-mcp`, then `imagesorcery-mcp --post-install`. Use the full path to the executable in your MCP client configuration.
What MCP clients are supported?
🪄 ImageSorcery MCP works with Claude.app, Cursor, Cline, and any other MCP-compatible client.
Does the server transmit my images anywhere?
No. All image processing (crop, detect, OCR, etc.) runs locally on your machine. Images never leave your environment.
Basic information
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