Video Analyzer

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "video-analyzer": {
      "command": "uvx",
      "args": [
        "video-analyzer-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (5)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Video Analyzer.

video_analyze

Full pipeline: download, extract frames, transcribe, analyze, fingerprint, storyboard

video_extract_frames

Extract representative frames using scene detection or fixed intervals

video_transcribe

Transcribe audio with OpenAI Whisper

video_fingerprint

Generate 8-field Stylistic Fingerprint v3 classification

video_check_deps

Verify all required dependencies are installed

Documentation Overview

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

Terminal

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:

config.json

{
  "mcpServers": {
    "video-analyzer": {
      "command": "uvx",
      "args": ["video-analyzer-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "your-key-here"
      }
    }
  }
}

MCP Tools

Tool	Description
`video_analyze`	Full pipeline: download, extract frames, transcribe, analyze, fingerprint, storyboard
`video_extract_frames`	Extract representative frames using scene detection or fixed intervals
`video_transcribe`	Transcribe audio with OpenAI Whisper
`video_fingerprint`	Generate 8-field Stylistic Fingerprint v3 classification
`video_check_deps`	Verify all required dependencies are installed

Standalone Usage

Terminal

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

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

License

MIT

Read the full README →View source on GitHub →

Related MCP Servers

View all in Multimedia Process View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit

6mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

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Frequently Asked Questions about Video Analyzer

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "video-analyzer": { "command": "uvx", "args": ["video-analyzer-mcp"] } }

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Technical Specs & Signals

CategoryMultimedia Process

2/4 checks healthy over the last 45d

45Quality signal: Fair · 45/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity0/15

Community engagement0/10

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Scanned 2d ago via OSV.dev · video-analyzer-mcp (PyPI)

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More in 🎥 Multimedia Process →Best MCP servers for Multimedia & Media Processing →Alternatives to Video Analyzer →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Documentation Overview

Video Analyzer

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

Terminal

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:

config.json

{
  "mcpServers": {
    "video-analyzer": {
      "command": "uvx",
      "args": ["video-analyzer-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "your-key-here"
      }
    }
  }
}

MCP Tools

Tool	Description
`video_analyze`	Full pipeline: download, extract frames, transcribe, analyze, fingerprint, storyboard
`video_extract_frames`	Extract representative frames using scene detection or fixed intervals
`video_transcribe`	Transcribe audio with OpenAI Whisper
`video_fingerprint`	Generate 8-field Stylistic Fingerprint v3 classification
`video_check_deps`	Verify all required dependencies are installed

Standalone Usage

Terminal

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

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

License

MIT