Watch Video

Name: Watch Video
Author: marwanm7moud

by marwanm7moudversion 0.2.0i★ –iRuns on your computer

Registry nameio.github.marwanm7moud/watch-video

Install

Overview

Description from the maker (original English)

Let an AI watch a video: timestamped transcript, scene-selected keyframes and exact frames. Local.

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
UsageiEarly↓ 341/wk · ★ –

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?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Run this in your terminal

claude mcp add watch-video -- uvx watch-video-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "watch-video": {
      "command": "uvx",
      "args": [
        "watch-video-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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "watch-video": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "watch-video-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 marwanm7moud, 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 2789 servers in this category
Published to the registry more recently than 80% of the other 2789 servers in this category
Basic checks equal to or better than 100% of the other 2789 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 Watch Video 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 (0.2.0) reached the registry 8 days 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:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

by GLipsWidely used↓ 161.2K/wk★ 16.2KUpdated 5 months ago

Runs on your computer

Install

Claude Real Video

Let any LLM watch a video locally — and search everything it has ever watched.

by HUANGCHIHHUNGLeoWidely used↓ 1.1K/wk★ 2.3KUpdated 2 months ago

Runs on your computer

Install

Figma MCP Server

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.

by figmaGrowing★ 2.2KUpdated 13 months ago

Runs in the cloud✓ mcp.figma.com

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.

watch-video

Let Claude (or any MCP client) watch a video. Give it a local file or a URL (YouTube and 1,500+ other sites via yt-dlp) and it gets a timestamped transcript plus a handful of scene-selected keyframes, then drills into exact frames only when needed. No cloud transcription, no API keys.

> Watch https://www.youtube.com/watch?v=jNQXAC9IVRw and tell me what he says about the elephants.

$ video-cli overview https://www.youtube.com/watch?v=jNQXAC9IVRw --max-frames 8

Me at the zoo

duration: 00:19 transcript: platform-subs:en, language=en, 6 segments, took 0.4s keyframes: 3 scene-selected at 00:00, 00:05, 00:11 total time: 6.7s

Transcript

[00:01] All right, so here we are, in front of the elephants [00:05] the cool thing about these guys is that they have really... really really long trunks and that's cool [00:16] and that's pretty much all there is to say IMAGE: ~/.cache/video_mcp/Youtube_jNQXAC9IVRw/sheets_8/sheet_01.jpg

Claude: He stands in front of the elephants (00:01) and says the cool thing about them is their really long trunks (00:05). That is the whole video (00:16).

Why this one

	watch-video	Cloud video APIs (e.g. Gemini)	Transcript-only tools
Sees the screen (code, slides, charts, UI)	Yes: keyframes, hi-res frames, OCR	Yes	No
Runs locally, nothing uploaded	Yes	No: the video goes to the provider	Varies
API key or account	None	Required, billed per use	Varies
Videos without captions	Local Parakeet / Whisper	Yes	Often fails
Token cost of the visual pass	~20 frames per contact sheet (cost of ~1.5 images)	Billed by video length	None (no visuals)
Private recordings (meetings, bug repros)	Safe: never leave the machine	Uploaded	Varies

It ships as two parts:

`video` MCP server with seven tools (below).
`watch-video` skill that teaches Claude the cheap-first workflow: overview, then frames, then ranges.

How it works

Step	What happens
Transcript	Platform subtitles if the video has them (seconds), else Parakeet TDT 0.6B v3 (int8, CPU, 25 European languages), else faster-whisper large-v3-turbo (other languages, GPU or `language="auto"`).
Keyframes	Decodes only keyframes at thumbnail size, drops repeats and static slides, then fills the largest time gaps. The selection adapts to how much the video changes (screencast vs. action).
Contact sheets	Labelled frames tiled into grids: about 20 frames for the token cost of 1.5 full frames. Black bars are cropped automatically.
Drill-down	`get_frames` seeks to exact timestamps at 1280 px (readable code and charts). For URLs it seeks into the stream without downloading the whole video.

Everything is cached under ~/.cache/video_mcp, so repeat calls are instant.

Measured on a mid-range CPU (i5-11400, no GPU): 35.7-minute local video overview in about 2.6 minutes; YouTube video with subtitles in about 7 seconds; a drill-down frame in about 0.5 seconds.

Install

Requirements: Python 3.10+ and ffmpeg (including ffprobe) on your PATH.

Claude Code: one command (plugin)

Installs the MCP server and the skill together. Needs uv for uvx.

/plugin marketplace add marwanm7moud/watch-video

/plugin install watch-video@watch-video

Any agent: package, server, skill

pipx install watch-video-mcp          # or: uv tool install watch-video-mcp / pip install watch-video-mcp

optional extras: Whisper (non-European languages / GPU) and OCR (on-screen text as text)

pipx install "watch-video-mcp[whisper,ocr]"

latest from GitHub instead of PyPI:

pip install git+https://github.com/marwanm7moud/watch-video

No install needed to try the CLI: uvx --from watch-video-mcp video-cli hw.

Install ffmpeg with winget install Gyan.FFmpeg (Windows), brew install ffmpeg (macOS) or sudo apt install ffmpeg (Linux). The first transcription downloads the Parakeet model (about 650 MB).

Register the MCP server

Claude Code:

claude mcp add video --scope user -- video-mcp

Claude Desktop (claude_desktop_config.json) or any other MCP client:

{ "mcpServers": { "video": { "command": "video-mcp" } } }

If video-mcp is not on your PATH, use the full path to the executable or python -m video_mcp.server.

Install the skill

The skill works with or without the MCP server: it falls back to video-cli and installs it on first use. Copy the skill folder so your agent knows when and how to use the tools:

# macOS / Linux

mkdir -p ~/.claude/skills && cp -r skills/watch-video ~/.claude/skills/

Windows (PowerShell)

Copy-Item -Recurse skills\watch-video $HOME\.claude\skills\

Then ask Claude: *"Watch https://youtu.be/... and summarize it"*, or *"At what point do they explain the stop-loss, and what does the chart show then?"*

Tools

Tool	Use
`video_overview(source, max_frames=40, ocr=False)`	Start here: metadata, chapters, full transcript, contact sheets. `ocr=True` adds on-screen text.
`get_frames(source, timestamps, hi_res=True)`	Exact frames (`"12:30"`, `"1:02:05"` or seconds), up to 20.
`scan_range(source, start, end, count=12)`	Evenly spaced frames in one sheet, to follow motion or a demo.
`find_cuts(source, start, end, threshold=0.2)`	Hard cuts (shot or screen changes) and cuts per minute, for pacing.
`get_transcript(source, start, end)`	Transcript slice.
`search_transcript(source, query)`	Timestamped hits for any of the words, exact phrase first; plus on-screen text after an `ocr=True` overview.
`check_hardware()`	Detected tools, GPU and the transcription profile in use.

Command line

The same operations work without MCP:

video-cli overview video.mp4 --max-frames 16

video-cli overview demo.mp4 --ocr # also read code/slides on screen video-cli frames https://youtu.be/... 12:30 13:05 video-cli range video.mp4 10:00 10:30 --count 12 video-cli cuts ad.mp4 # hard cuts + cuts per minute video-cli search video.mp4 "stop loss" video-cli hw

Configuration

Variable	Default	Effect
`VIDEO_MCP_CACHE`	`~/.cache/video_mcp`	Cache directory (delete it to reclaim space).
`VIDEO_MCP_LANG`	`en`	Default transcription language; `auto` detects it with Whisper.
`VIDEO_MCP_THREADS`	`4` (CPU)	Threads for CPU transcription.
`VIDEO_MCP_AVX512`	unset	Set to `1` to let Whisper use AVX-512 (faster, but a very heavy sustained load).

On CPU the server runs below normal priority, one heavy job at a time, with Whisper held to AVX2, so a long transcription does not freeze your desktop.

Limitations

English is assumed unless you pass language. Parakeet covers 25 European languages on CPU (language="de", "fr", "es", ...). Other languages (Arabic, Chinese, Japanese, Hindi, ...) need Whisper, which is slow on CPU.
Frames are sampled, not every frame is analysed; the transcript can mishear names and terms. The skill tells Claude to cite timestamps and confirm exact on-screen text with a hi-res frame.
Use it only on videos you are allowed to access and process; respect each site's terms and copyright.

Development

pip install -e ".[dev]"

ruff check . pytest

License

MIT. See LICENSE.

Watch Video

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

watch-video

Me at the zoo

Transcript

Why this one

How it works

Install

Claude Code: one command (plugin)

Any agent: package, server, skill

optional extras: Whisper (non-European languages / GPU) and OCR (on-screen text as text)

latest from GitHub instead of PyPI:

Register the MCP server

Install the skill

Windows (PowerShell)

Tools

Command line

Configuration

Limitations

Development

License