Local offline OpenCV-based image-processing MCP server: webcam capture, image transforms, edges, contours, face/QR detection, video, and ~40 tools.
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<!-- mcp-name: io.github.pirahansiah/farshid-mcp-imageProcessing --> # farshid-mcp-imageProcessing A comprehensive **OpenCV image-processing MCP server** for VS Code Copilot Agent Mode (or any MCP client). Exposes ~40 tools across webcam capture, image I/O, transforms, color, filtering, edges, thresholding, morphology, contours/shapes, feature matching, object detection (faces / eyes / bodies / QR), drawing, image arithmetic, template matching, and video processing. - **PyPI:** [`farshid-mcp-imageProcessing`](https://pypi.org/project/farshid-mcp-imageProcessing/) - **MCP Registry:** `io.github.pirahansiah/farshid-mcp-imageProcessing` - **Python:** 3.14+ - **OS:** latest Windows 11, latest macOS, latest mainstream Linux (Ubuntu 24.04+/Fedora 41+) ## Install (PyPI) ```bash pip install farshid-mcp-imageProcessing farshid-mcp-imageprocessing # runs the stdio MCP server ``` ## Register in VS Code Add this to your user or workspace `mcp.json`: ```jsonc { "servers": { "imageProcessing": { "command": "farshid-mcp-imageprocessing", "type": "stdio" } } } ``` Or, if you cloned the repo and want to run from source with the local `.venv`: ```bash git clone https://github.com/pirahansiah/farshid-mcp-imageProcessing cd farshid-mcp-imageProcessing # Windows (PowerShell): py -3.14 -m venv .venv ; .\.venv\Scripts\Activate.ps1 # macOS / Linux: python3.14 -m venv .venv && source .venv/bin/activate pip install -U pip pip install -e . ``` `opencv-contrib-python` is used so the bundled Haar cascades and extra algorithms are available. ## Quick start: the `/cv` Copilot prompt This repo ships a workspace prompt file at [.github/prompts/cv.prompt.md](.github/prompts/cv.prompt.md). In VS Code Copilot Chat (Agent mode), type: ``` /cv take image from webcam and save it as gray scale 240 * 240 ``` The agent will call `webcam_save`, `image_to_grayscale`, and `image_resize` from this server to produce the requested file under `./.farshid/cv/`. ## …
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