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Farshid MCP ImageProcessing

@pirahansiah

代码仓库

基本信息

分类

其他

许可证

MIT

作者

pirahansiah

关于 Farshid MCP ImageProcessing

farshid mcp server local opencv

Farshid MCP ImageProcessing 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "farshid-mcp-imageprocessing": {
      "command": "python",
      "args": [
        "-m",
        "build"
      ]
    }
  }
}

Farshid MCP ImageProcessing 工具

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。

概览

What is farshid-mcp-imageProcessing?

farshid-mcp-imageProcessing is a comprehensive OpenCV image-processing MCP server for VS Code Copilot Agent Mode (or any MCP client). It exposes ~40 tools across webcam capture, image I/O, transforms, color, filtering, edges, thresholding, morphology, contours/shapes, feature matching, object detection, drawing, composition, template matching, and video processing. It is for developers who want to perform computer vision tasks directly from an MCP client.

How to use farshid-mcp-imageProcessing?

Install with pip install farshid-mcp-imageProcessing, then run farshid-mcp-imageprocessing to start the stdio server. Register it in VS Code by adding a imageProcessing entry to your mcp.json with the command farshid-mcp-imageprocessing and type stdio. Optionally, clone the repo and run from source. For quick testing, use the /cv prompt in Copilot Chat (e.g., /cv take image from webcam and save it as gray scale 240 * 240).

Key features of farshid-mcp-imageProcessing

  • Webcam capture, preview, record, and save
  • Geometric transforms: resize, crop, rotate, flip, pad
  • Color conversion and histogram equalization
  • Filtering (Gaussian, median, bilateral) and sharpening
  • Edge detection (Canny, Sobel, Laplacian)
  • Object detection via Haar cascades (faces, eyes, bodies, QR)

Use cases of farshid-mcp-imageProcessing

  • Capture a photo from a webcam and apply grayscale and resize transformations
  • Detect faces in an image and draw bounding boxes around them
  • Compare two images for differences using absolute difference
  • Extract frames from a video file at a specified interval
  • Match a template pattern within a larger image

常见问题

1

What Python version is required?

Python 3.14 or later is required.

2

Does this server work on a headless server?

Most tools work on headless servers, but `webcam_preview` opens a real desktop window and will fail without a display.

3

How do I handle camera permissions on macOS?

The first webcam call triggers a system Camera permission prompt; grant it to the terminal or VS Code process.

4

What should I avoid when writing custom tools or using this server?

Never use `print()` in tool functions because stdout is the MCP protocol channel; use `sys.stderr` (the `_log` helper in `server.py`) instead.

5

Is opencv-contrib-python included?

Yes, the package uses `opencv-contrib-python` to provide bundled Haar cascades and extra algorithms.

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