Analyze videos: extract frames, transcribe audio, generate storyboard breakdowns.
Most AI and media services work still happens through a UI a human drives. Video MCP server moves it into the conversation instead. Analyze videos: extract frames, transcribe audio, generate storyboard breakdowns.
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.
The server publishes 5 tools. What each one is for:
video_analyze — Full pipeline: download, extract frames, transcribe, analyze, fingerprint, storyboardvideo_extract_frames — Extract representative frames using scene detection or fixed intervalsvideo_transcribe — Transcribe audio with OpenAI Whispervideo_fingerprint — Generate 8-field Stylistic Fingerprint v3 classificationvideo_check_deps — Verify all required dependencies are installedInstallation goes through your MCP client rather than a global install: point it at video-analyzer-mcp on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Configuration is passed through the environment: ANTHROPIC_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
brew install ffmpeg (macOS) or apt-get install ffmpeg (Linux) - ANTHROPIC_API_KEY — set as an environment variableAmong the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Video's toolset — video_analyze, video_extract_frames, video_transcribe and 2 more — is a fair guide to whether it matches your workflow. It is maintained by BrightWayAI; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Video's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| 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 |
{
"mcpServers": {
"video-analyzer": {
"command": "uvx",
"args": ["video-analyzer-mcp"],
"env": {
"ANTHROPIC_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
brew install ffmpeg (macOS) or apt-get install ffmpeg (Linux) - ANTHROPIC_API_KEY — set as an environment variable| Variable | Description | Required |
|---|---|---|
| ANTHROPIC_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.