Video Editing Mcp

Video Editing MCP is an MCP server that connects Large Language Model interfaces like Claude to the Video Jungle API and local video libraries. Designed for video creators, editors, and multimedia developers, it enables conversational assistants to ingest, analyze, search, and generate video edits directly through text instructions. The server provides tools to download and index external video URLs, creating multimodal embeddings across both audio and visual tracks for content-based retrieval. Users can query video content by spoken phrases or visual elements, group media within dedicated project containers, and produce rendered edits across single or multiple source files. For local editing workflows, the server can search macOS Photos libraries when enabled and generate OpenTimelineIO project files that export directly to an active DaVinci Resolve Studio instance. By translating user prompts into concrete editing operations, it allows language models to assist with timeline assembly, clip trimming, asset organization, and metadata updates.

Category: Design, Media & Creative

Tags: editing, multimedia, video, video processing

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How to install and configure Video Editing Mcp

1. Obtain a Video Jungle API key from your account settings at Video Jungle. 2. To install automatically for Claude Desktop using Smithery, run: npx -y @smithery/cli install video-editor-mcp --client claude 3. Alternatively, open your claude_desktop_config.json file manually and register the server: json { "mcpServers": { "video-editor-mcp": { "command": "uvx", "args": [ "video-editor-mcp", "YOURAPIKEY" ] } } } 4. If you want to enable local macOS Photos search, run the server using uv and add "LOAD_PHOTOS_DB": "1" inside an "env" object. 5. Restart Claude Desktop to activate the video editing tools.

What you can do with Video Editing Mcp

• Ingest and analyze external videos from web URLs to extract multimodal audio and visual metadata using the add-video tool. - Search analyzed video archives using keywords or embeddings to pinpoint exact moments and spoken dialogue across video libraries. - Generate automated cuts and rendered video edits from single or multiple input files based on specific prompt criteria. - Export timeline edits as OpenTimelineIO files and download them directly into an active DaVinci Resolve Studio instance. - Search local macOS Photos libraries for tagged video files by configuring the local database environment variable.

Key facts

• https://github.com/burningion/video-editing-mcp
• Design, Media & Creative
• editing, multimedia, video, video processing

Part of MCP Servers

What is Video Editing MCP?

Video Editing MCP is a Model Context Protocol server that links AI clients like Claude with the Video Jungle API. It enables users to download videos from URLs, run multimodal audio-visual analysis, query clips with natural language, generate automated edits, and export timelines locally to DaVinci Resolve Studio.

How do I install Video Editing MCP?

You can install the server for Claude Desktop using Smithery by running the command npx -y @smithery/cli install video-editor-mcp --client claude. Alternatively, add the video-editor-mcp package executed via uvx into your claude_desktop_config.json configuration file along with your Video Jungle API key.

What tools are included in Video Editing MCP?

The server includes tools to add videos from URLs, create Video Jungle projects, inspect project assets, search videos using embeddings, compile edits from single or multiple video sources, modify edits in real time, and export OpenTimelineIO timelines directly into DaVinci Resolve Studio.

Can Video Editing MCP search local video files?

Yes, on macOS the server supports local video searching through the Photos app. To enable this functionality, set the LOAD_PHOTOS_DB environment variable to 1 in your server configuration, which allows Claude to request access and query local tagged videos.

Which MCP clients work with Video Editing MCP?

Video Editing MCP works with any Model Context Protocol client that supports standard stdio transport, such as Claude Desktop. You can configure it manually through the desktop JSON configuration file or run and debug its operations interactively using the official MCP Inspector utility in your web browser.