Video Tools MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Video Tools MCPtranscribe the video interview.mp4"
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 Tools MCP
An MCP server that gives Claude the ability to process videos: transcribe with Whisper, cut reels with FFmpeg, and manage video files.
Tools
Tool | Description |
| Transcribe video audio using OpenAI Whisper, saves timestamped |
| Cut a segment from a video using FFmpeg (fast seek + re-encode or stream copy) |
| Rename video + transcript following a configurable naming convention |
| Get video metadata (duration, resolution, codec, fps, size) |
| List all videos in the working directory with transcript/cut status |
Related MCP server: ffmpeg-mcp
Prerequisites
Python 3.10+
FFmpeg installed and on PATH (or set
FFMPEG_PATHenv var)Claude Desktop or Claude Code
Quick Start
git clone https://github.com/ZZtopBR/video-tools-mcp.git
cd video-tools-mcp
python3 -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install -r requirements.txtConfiguration
Variable | Default | Description |
|
| Working directory for videos |
|
| Path to ffmpeg binary |
|
| Path to ffprobe binary |
|
| Prefix for renamed files |
Connect to Claude Desktop
{
"mcpServers": {
"video-tools": {
"command": "/path/to/venv/bin/python",
"args": ["/path/to/video-tools-mcp/src/server.py"],
"env": {
"VT_VIDEOS_DIR": "/path/to/your/videos",
"FFMPEG_PATH": "ffmpeg"
}
}
}
}Workflow
Transcribe —
vt_transcribegenerates a timestamped.mdalongside the videoAnalyze — Claude reads the transcript, identifies key segments
Cut —
vt_cut_reelextracts each segment as a separate fileOrganize —
vt_renameapplies consistent naming conventions
License
MIT
Built with OpenAI Whisper, FFmpeg, and MCP by Anthropic.
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