Video Jungle MCP Server

The Video Editor MCP server bridges the gap between large‑language models and professional video production workflows by exposing a rich set of resources, tools, and search capabilities around the Video Jungle platform. It enables AI assistants to ingest raw video files, perform multimodal analysis, and generate polished edits—all through simple prompt‑driven commands. Developers can therefore prototype creative video pipelines, automate repetitive editing tasks, and embed intelligent media handling directly into conversational agents.

At its core, the server implements a custom URI scheme () that references both individual videos and entire projects stored in Video Jungle. When a user uploads or adds a video via the tool, the server downloads the file, stores it in the user’s library, and runs a multimodal analysis that tags audio, visual content, and contextual metadata. These annotations are then searchable using the tool, which leverages embeddings and keyword matching to return precise clips or moments within the footage. This capability is especially valuable for content creators who need to locate specific scenes—such as all instances of a particular phrase or visual cue—without manually scrubbing through hours of footage.

Beyond search, the MCP offers end‑to‑end editing workflows. The and tools let an AI assistant request a new edit based on search results or a single clip, automatically generating timelines and rendering the final video. For users who prefer local editing environments, creates an OpenTimelineIO project and hands it off to DaVinci Resolve Studio, allowing the assistant to orchestrate complex color grading or effects pipelines that resolve can execute in real time. The tool keeps the Video Jungle project in sync, ensuring that any changes made within the platform are reflected instantly for the assistant.

Real‑world use cases span from marketing teams needing quick reels of product demos to filmmakers searching for specific shots across large libraries. By integrating seamlessly with ChatGPT‑style agents, the server allows developers to build conversational editors that can ask for a video, analyze it, and produce a ready‑to‑share edit—all without leaving the chat interface. The ability to search local photo libraries (via ) further extends its reach, making it a versatile tool for both cloud‑based and on‑device media workflows.