farshid-mcp-imageProcessing

Name: farshid-mcp-imageProcessing
Author: pirahansiah

@pirahansiah

代码仓库

关于 farshid-mcp-imageProcessing

farshid mcp server local opencv

基本信息

分类

其他

许可证

MIT

运行时

python

发布者

pirahansiah

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"
      ]
    }
  }
}

工具

未检测到工具

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

FAQ from farshid-mcp-imageProcessing

What Python version is required?

Python 3.14 or later is required.

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.

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.

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.

Is opencv-contrib-python included?

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

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