MCP Servers

Video Tools MCP

An MCP server enabling video processing via natural language: transcription with Whisper, segment cutting with FFmpeg, and file management.

README

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
`vt_transcribe`	Transcribe video audio using OpenAI Whisper, saves timestamped `.md`
`vt_cut_reel`	Cut a segment from a video using FFmpeg (fast seek + re-encode or stream copy)
`vt_rename`	Rename video + transcript following a configurable naming convention
`vt_info`	Get video metadata (duration, resolution, codec, fps, size)
`vt_list`	List all videos in the working directory with transcript/cut status

Prerequisites

Python 3.10+
FFmpeg installed and on PATH (or set FFMPEG_PATH env 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.txt

Configuration

Variable	Default	Description
`VT_VIDEOS_DIR`	`~/videos`	Working directory for videos
`FFMPEG_PATH`	`ffmpeg`	Path to ffmpeg binary
`FFPROBE_PATH`	`ffprobe`	Path to ffprobe binary
`VT_PREFIX`	`VT`	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_transcribe generates a timestamped .md alongside the video
Analyze — Claude reads the transcript, identifies key segments
Cut — vt_cut_reel extracts each segment as a separate file
Organize — vt_rename applies consistent naming conventions

License

MIT

Built with OpenAI Whisper, FFmpeg, and MCP by Anthropic.

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