Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"video-analyzer": {
"env": {
"ANTHROPIC_API_KEY": "your-key-here"
},
"args": [
"video-analyzer-mcp"
],
"command": "uvx"
}
}
}Are you the author?
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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.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'video-analyzer-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked video-analyzer-mcp against OSV.dev.
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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.
.docx or .mdThis project includes an MCP (Model Context Protocol) server so you can use video analysis directly from Claude Desktop or Claude Code.
claude mcp add video-analyzer -s user -- uvx video-analyzer-mcp
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"
}
}
}
}
| 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 |
pip install -r requirements.txt
python3 analyze_video.py "https://youtube.com/watch?v=..." --output-dir ./output
brew install ffmpeg (macOS) or apt-get install ffmpeg (Linux)MIT