This MCP server, developed by Kirk Kaiser, enables AI-assisted video editing and searching using the Video Jungle API. It provides tools for adding videos, searching video content using embeddings, and generating edits from single or multiple video files. The implementation is built in Python 3.11+ and integrates with libraries like einops, timm, and transformers for advanced video processing capabilities. It's designed for content creators and video editors who want to leverage AI to streamline their workflow, allowing for natural language queries to find relevant video clips and automate editing tasks. The server also includes an optional feature to search local video files on macOS, making it versatile for both cloud-based and local video management.
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Add a video from a URL. Returns a vj:// URI to reference the video file.
Search videos using embeddings. Returns video matches based upon embeddings and keywords.
Generates a rendered video edit from a set of video files.
Generate an edit from a single input video file.
