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…
farshid-mcp-imageProcessing is an MCP project maintained in the pirahansiah/farshid-mcp-imageprocessing repository. The maintainer describes its purpose as “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…”. Read the project documentation for the complete scope.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| webcam_capture | camera_index=0) → returns a PNG image |
| webcam_save | output_path="", camera_index=0) |
| webcam_preview | camera_index=0, seconds=10) (local desktop window) |
| webcam_record | output_path, seconds=5, camera_index=0, fps=20) |
| image_show | path) — return image to chat |
| image_info | path) — shape, dtype, mean, file size |
| image_convert | input_path, output_path, quality=95) |
| image_resize | ... width|height|scale, interpolation) |
| image_crop | input_path, output_path, x, y, width, height) |
| image_rotate | input_path, output_path, angle, scale=1, keep_size=False) |
| image_flip | input_path, output_path, direction) |
| image_pad | ... top, bottom, left, right, border_type, color) |
| image_to_grayscale | color_convert(target=gray|hsv|hls|lab|ycrcb|rgb|bgr) |
| adjust_brightness_contrast | histogram_equalize(method=clahe|global) |
| histogram_data | bins=32) |
| blur_gaussian | ksize, sigma) |
| blur_median | ksize) |
| blur_bilateral | d, sigma_color, sigma_space) |
| sharpen | amount) |
| denoise | strength) |
| edges_canny | threshold1, threshold2) |
| edges_sobel | ksize) |
| edges_laplacian | ksize) |
| threshold | method=otsu|binary|binary_inv|adaptive_mean|adaptive_gaussian) |
| morphology | op=erode|dilate|open|close|gradient|tophat|blackhat) |
| find_contours | input_path, output_path?, thresh, min_area) |
| detect_circles | ...) — Hough |
| detect_lines | ...) — Probabilistic Hough |
| detect_corners | ...) — Shi-Tomasi |
| feature_match | image1, image2, output_path?) — ORB + BFMatcher |
| detect_faces | detect_eyes |
| detect_bodies | detect_qrcode |
| image_blend | image1, image2, output_path, alpha) |
| image_diff | image1, image2, output_path?) → mean/max diff |
| image_concat | images, output_path, direction) |
| template_match | image_path, template_path, output_path?, threshold) |
| video_info | path) |
| video_extract_frames | video_path, output_dir, every_n, max_frames, ext) |
| video_thumbnail | video_path, output_path, time_seconds) |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
Connect GitHub MCP to repositories, issues and pull requests with GitHub’s hosted service or a locally run server.
Use the Supabase MCP server to inspect database schemas, query project data and retrieve docs through a project-scoped connection.
Search Linear issues and projects, inspect work context and manage updates through Linear’s hosted MCP server with OAuth.