Do I need an account to use Video Editor MCP server?
Yes, you must sign up at Video Jungle and add your API key to the server configuration.
@burningion
基本情報
MCP Interface for Video Jungle
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"video-editor-mcp": {
"command": "uvx",
"args": [
"-p",
"3.11",
"--from",
"video_editor_mcp@latest",
"video-editor-mcp"
],
"env": {
"VJ_API_KEY": "<YOUR_API_KEY>"
}
}
}
}Add a Video File for analysis from a URL. Returns an vj:// URI to reference the Video file
Creates a Video Jungle project to contain generative scripts, analyzed videos, and images for video edit generation
Creates an OpenTimelineIO project and downloads it to your machine to open in a Davinci Resolve Studio instance (Resolve Studio _must_ already be running before calling this tool.)
Generates a rendered video edit from a set of video files
Generate an edit from a single input video file
Get assets within a project for video edit generation.
Returns video matches based upon embeddings and keywords
Live update a video edit's information. If Video Jungle is open, edit will be updated in real time.
A server that lets you upload, edit, search, and generate videos from an LLM, integrated with Video Jungle. It requires a Video Jungle account and API key.
Install via Smithery or configure claude_desktop_config.json with the uvx command and your API key. Invoke tools like add-video or search-videos through natural language prompts. Optionally set LOAD_PHOTOS_DB=1 to enable searching your local MacOS Photos library.
Yes, you must sign up at Video Jungle and add your API key to the server configuration.
Yes, by setting the environment variable `LOAD_PHOTOS_DB=1`, you can search your MacOS Photos app for video files using Apple’s tags.
The `edit-locally` tool creates an OpenTimelineIO project for Davinci Resolve Studio, which must be running before calling the tool.
It runs over stdio, as is standard for MCP servers. Debugging is possible via MCP Inspector.
Currently, video edits rely on the chat context provided to the LLM, and each edit must be generated within the same conversation.

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