Advertise
MCP.so
Sign In

ImageSorcery MCP Server

@sunriseapps

RepositoryHomepage

Basic information

Category

Other

License

MIT

Transports

stdio

Author

sunriseapps

About ImageSorcery MCP Server

An MCP server providing tools for image processing operations

ImageSorcery MCP Server 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
    }
  }
}

ImageSorcery MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

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

Frequently asked questions

1

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.

2

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).

3

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.

4

What MCP clients are supported?

🪄 ImageSorcery MCP works with Claude.app, Cursor, Cline, and any other MCP-compatible client.

5

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.

Comments

More Other MCP servers

🚀 Model Context Protocol (MCP) Curriculum for Beginners

microsoft

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

16.7K

Blender

ahujasid

Open-source MCP to use Blender with any LLM

23.6K

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K

Hindsight

vectorize-io

Hindsight: Agent Memory That Learns

50.4K

Awesome Mlops

visenger

A curated list of references for MLOps

14.0K
Advertise