heygen-com/hyperframes
HyperFrames is an open-source framework that converts HTML, CSS, and media into deterministic MP4 videos, designed for AI agents and automated content creation workflows.
Awesome MCP › Media & Creativity
GongRzhe/opencv-mcp-server
OpenCV MCP Server is a Python package that makes OpenCV's computer-vision capabilities callable as MCP tools, so an assistant can analyse and transform visual data rather than only describing images it is shown. The tool set spans several levels. Basic handling covers reading and saving images and converting between formats. Processing and enhancement covers resizing, cropping, colour-space conversion, filtering and the classical enhancement operations OpenCV provides. Analysis goes further into detection: object detection and tracking, including across video frames, and feature extraction that turns pixels into measurements a model can reason about. Video support is frame-by-frame, which is what allows tracking an object through a sequence rather than treating each frame independently. The practical distinction from a vision-capable language model is precision: OpenCV returns coordinates, counts and measurements, where a model looking at an image returns a description. One caveat matters for adoption — the GitHub repository is archived, so it is read-only and no longer maintained, and it will not track changes in either OpenCV or the MCP specification. The audience is people who need measurable image analysis in an agent workflow, and who should treat this as a reference implementation to fork rather than a maintained dependency.
https://github.com/GongRzhe/opencv-mcp-server
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