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io.github.BrightWayAI/video-analyzer

Official registry Media and design

Analyze videos: extract frames, transcribe audio, generate storyboard breakdowns.

Source code Documentation

What can you do with io.github.BrightWayAI/video-analyzer?

  • Frame Extraction — Scene-detection-based keyframe selection (or fixed intervals)
  • Audio Transcription — Timestamped transcription via OpenAI Whisper
  • Visual Analysis — Per-frame descriptions using Claude Vision
  • Stylistic Fingerprint v3 — 8-field deterministic classification (rendering class, world type, character strategy, narrative structure, visual abstraction, visual density, camera language, tonal positioning)
  • Storyboard Output — Combined shot-by-shot breakdown as .docx or .md

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package video-analyzer-mcp
Claude Code 
claude mcp add video-analyzer -- uvx video-analyzer-mcp==0.1.2
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "video-analyzer": {
            "command": "uvx",
            "args": [
                "video-analyzer-mcp==0.1.2"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Video Analyzer
  2. Features
  3. MCP Server
  4. Standalone Usage
  5. Prerequisites
  6. Stylistic Fingerprint Fields
  7. License

Video Analyzer

Analyze videos and generate storyboard breakdowns. Extracts frames via scene detection, transcribes audio with Whisper, analyzes visuals with Claude Vision, and computes 8-field stylistic fingerprints.

Features

  • Frame Extraction — Scene-detection-based keyframe selection (or fixed intervals)
  • Audio Transcription — Timestamped transcription via OpenAI Whisper
  • Visual Analysis — Per-frame descriptions using Claude Vision
  • Stylistic Fingerprint v3 — 8-field deterministic classification (rendering class, world type, character strategy, narrative structure, visual abstraction, visual density, camera language, tonal positioning)
  • Storyboard Output — Combined shot-by-shot breakdown as .docx or .md

MCP Server

This project includes an MCP (Model Context Protocol) server so you can use video analysis directly from Claude Desktop or Claude Code.

Install via Claude Code
claude mcp add video-analyzer -s user -- uvx video-analyzer-mcp
Install via Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "video-analyzer": {
      "command": "uvx",
      "args": ["video-analyzer-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "your-key-here"
      }
    }
  }
}
MCP Tools
ToolDescription
video_analyzeFull pipeline: download, extract frames, transcribe, analyze, fingerprint, storyboard
video_extract_framesExtract representative frames using scene detection or fixed intervals
video_transcribeTranscribe audio with OpenAI Whisper
video_fingerprintGenerate 8-field Stylistic Fingerprint v3 classification
video_check_depsVerify all required dependencies are installed

Standalone Usage

pip install -r requirements.txt
python3 analyze_video.py "https://youtube.com/watch?v=..." --output-dir ./output

Prerequisites

  • Python 3.10+
  • FFmpeg — brew install ffmpeg (macOS) or apt-get install ffmpeg (Linux)
  • ANTHROPIC_API_KEY — set as an environment variable

Stylistic Fingerprint Fields

  1. Rendering Class — Stylized 3D, Flat 2D, Minimalist Line Art, Textured 2D, Mixed Media, Photoreal
  2. World Type — Stylized Real-World, Abstract Concept Space, Data/Presentation Space, Fictional Metaphor Universe
  3. Character Strategy — None, Mascot-Led, Single Narrator, Single Protagonist Arc, Ensemble Cast
  4. Narrative Structure — Direct Explanation, Step-by-Step, Problem-Solution, Analogy, Myth-Busting, etc.
  5. Visual Abstraction Index — 1 (Photorealistic) to 5 (Maximum Abstraction)
  6. Visual Density — Minimal, Sparse, Moderate, High
  7. Camera/Editing Language — Cinematic, Social Vertical Punch, Presentation Deck, Static Slides, etc.
  8. Tonal Positioning — Institutional, Corporate Professional, Gen Z Social, Child-Friendly, Dark Editorial

License

MIT

Frequently asked questions

What is io.github.BrightWayAI/video-analyzer?

Analyze videos: extract frames, transcribe audio, generate storyboard breakdowns.

How do I install io.github.BrightWayAI/video-analyzer?

It runs on your machine. In Claude Code: claude mcp add video-analyzer -- uvx video-analyzer-mcp==0.1.2. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.BrightWayAI/video-analyzer need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.BrightWayAI/video-analyzer open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains io.github.BrightWayAI/video-analyzer?

It is published by BrightWayAI. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.