Which integrations are available for this server?

Provides video processing capabilities such as trimming, merging, format conversion, compression, and thumbnail generation. Allows downloading videos from Instagram. Provides automatic speech recognition and subtitle generation using OpenAI's Whisper model. Allows downloading videos from TikTok and exporting videos for TikTok platform. Allows downloading videos from YouTube and exporting videos in YouTube-compatible formats.

How do I use Video MCP?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Video MCP Download this video from YouTube" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Video MCP

by danielnguyenfinhub

Overview Schema Related Servers Score Discussions

TypeScript

Local

🎬 Video MCP — Local Video Editing for Claude Desktop

A local MCP server that gives Claude Desktop full video editing capabilities via FFmpeg, Whisper, and yt-dlp.

Tools (15)

Tool	Description
`inspect_video`	Get duration, resolution, FPS, codecs, file size
`trim_clip`	Cut start/end timestamps
`merge_clips`	Join multiple clips in sequence
`export_for_platform`	Reformat for YouTube / Reels / TikTok / LinkedIn / Shorts
`generate_thumbnail`	Extract a frame as JPG
`add_captions`	Auto-transcribe with Whisper + burn subtitles
`add_text_overlay`	Burn title/lower-third/outro text
`add_background_music`	Mix music with voice audio
`download_video`	Download from YouTube, TikTok, Instagram
`compress_video`	Reduce file size (high/medium/low)
`convert_format`	MP4 ↔ MOV ↔ WebM ↔ GIF ↔ MKV
`extract_audio`	Pull audio as MP3/WAV/AAC
`list_video_files`	Browse your video folder with metadata
`speed_change`	Slow-mo or speed ramp (0.5x, 2x, etc.)
`mute_section`	Silence audio between two timestamps

Related MCP server: videolab-mcp

Prerequisites (Windows)

winget install Gyan.FFmpeg
winget install yt-dlp.yt-dlp
winget install Python.Python.3.12
pip install openai-whisper
winget install OpenJS.NodeJS.LTS

Setup

git clone https://github.com/danielnguyenfinhub/video-mcp
cd video-mcp
npm install
npm run build

Claude Desktop Config

Open: %APPDATA%\Claude\claude_desktop_config.json

Add to mcpServers:

{
  "mcpServers": {
    "video-mcp": {
      "command": "node",
      "args": ["C:\\Users\\Daniel\\video-mcp\\dist\\index.js"],
      "env": {
        "VIDEO_DIR": "C:\\Users\\Daniel\\Videos",
        "OUTPUT_DIR": "C:\\Users\\Daniel\\Videos\\Output"
      }
    }
  }
}

Replace Daniel with your actual Windows username. Restart Claude Desktop.

Environment Variables

Variable	Default	Description
`VIDEO_DIR`	`%USERPROFILE%\Videos`	Where your source videos live
`OUTPUT_DIR`	`%USERPROFILE%\Videos\Output`	Where processed videos are saved
`FFMPEG_PATH`	`ffmpeg`	Custom FFmpeg path if not in PATH
`FFPROBE_PATH`	`ffprobe`	Custom ffprobe path
`YTDLP_PATH`	`yt-dlp`	Custom yt-dlp path
`WHISPER_PATH`	`whisper`	Custom Whisper path

This server cannot be installed

license - not found

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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