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.
@sunriseapps
基本情報
An MCP server providing tools for image processing operations
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
🪄 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.
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.
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.
OpenCV requires `ffmpeg`, `libsm6`, `libxext6`, and `libgl1-mesa-glx` (installable via apt on Linux; typically included in non-virtual environments).
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.
🪄 ImageSorcery MCP works with Claude.app, Cursor, Cline, and any other MCP-compatible client.
No. All image processing (crop, detect, OCR, etc.) runs locally on your machine. Images never leave your environment.

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