Figma Context MCP
by GLips
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Runs on your computer★ 16,165MITUpdated 5 months ago
Install
Video Analyzer
Overview
Description from the maker (original English)
Analyze videos: extract frames, transcribe audio, generate storyboard breakdowns.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Design, images & audio
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- PyPIPython’s uv installed (for the uvx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"video-analyzer": {
"command": "uvx",
"args": [
"video-analyzer-mcp"
]
}
}
}Run this in your terminal
claude mcp add video-analyzer -- uvx video-analyzer-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"video-analyzer": {
"command": "uvx",
"args": [
"video-analyzer-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"video-analyzer": {
"type": "stdio",
"command": "uvx",
"args": [
"video-analyzer-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account BrightWayAI, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Design, images & audioi
- More stars than 0% of the other 2756 servers in this category
- Published to the registry more recently than 3% of the other 2756 servers in this category
- Basic checks equal to or better than 100% of the other 2756 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Video Analyzer safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 8 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Claude Real Video
by HUANGCHIHHUNGLeo
Let any LLM watch a video locally — and search everything it has ever watched.
Runs on your computer★ 2,284MITUpdated 2 months ago
Install
Figma MCP Server
by figma
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Runs in the cloud★ 2,152Updated 13 months ago
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
.docxor.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-mcpInstall 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
| 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
pip install -r requirements.txtpython3 analyze_video.py "https://youtube.com/watch?v=..." --output-dir ./output
Prerequisites
- Python 3.10+
- FFmpeg —
brew install ffmpeg(macOS) orapt-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