mcp-registry/imagesorcery-mcp

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       /// MCP ///
      /// IMA ///
        
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    [server:online]
    [protocol:ready]

imagesorcery-mcp

by sunriseapps

🪄 ImageSorcery MCP – an MCP server that equips AI assistants with local image-processing tools (crop, resize, detect objects, OCR, drawing, etc.) built on OpenCV, Ultralytics and EasyOCR.

84
7
Open Source
GitHub

Installation

1. Prerequisites:
• Python 3.9 or newer
• Git
2. Clone the repository
git clone https://github.com/sunriseapps/imagesorcery-mcp.git cd imagesorcery-mcp
3. Create and activate a virtual environment (recommended)
python -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\activate
4. Install dependencies
pip install -r requirements.txt
5. Optional – install in editable mode (if you plan to develop)
pip install -e .
6. Configuration
• Copy .env.example to .env and set environment variables as needed, e.g.
MCP_HOST=0.0.0.0 MCP_PORT=8080 MCP_AUTH_TOKEN=<your-token>
7. Run the server
python -m imagesorcery_mcp # or whatever entry-point the package provides
8. Verify
Open http://localhost:8080/health or http://localhost:8080/mcp/tools to make sure the service responds.

Documentation

License: MIT License
Updated 7/30/2025