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
基本信息
An MCP server providing tools for image processing operations
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"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
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
🪄 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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