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video-watch-mcp

Let AI agents watch videos — cloud-hosted MCP server with transcript + frame extraction for TikTok, YouTube, and 1000+ platforms

Install / Use

claude mcp add nekyialabs -- npx -y github:nekyialabs/video-watch-mcp

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

76/100

Supported Platforms

Claude Code
Claude Desktop

Our assessment of video-watch-mcp

video-watch-mcp scores 76/100 on our quality scale, 3685th of 4,623 Development & Engineering skills we index.

Its MCP Server is 4.4 KB long, well organised into 18 sections with 6 code examples: a solid amount of guidance for an agent.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
26/30
Structure
20/20
Description
15/15
Adoption
4/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated yesterday, so video-watch-mcp is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 97/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

video-watch-mcp compared with similar skills

All 4 of these similar skills score higher than video-watch-mcp; compare them before choosing.

SkillScoreStarsUpdatedFormat
video-watch-mcp (this skill)by nekyialabs76101d agoMCP Server
Agent-Reachby Panniantong10091.8k20d agoCLAUDE.md
headroomby headroomlabs-ai10074.5ktodayCLAUDE.md
CowAgentby zhayujie10047.2ktodayCLAUDE.md
ai-job-searchby MadsLorentzen10045.0ktodayCLAUDE.md

Frequently asked questions

How do I install video-watch-mcp?
Run claude mcp add nekyialabs -- npx -y github:nekyialabs/video-watch-mcp. The install tabs above show the steps for each supported agent.
Which AI agents does video-watch-mcp work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is video-watch-mcp safe to use?
It is MIT-licensed and scores 97/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is video-watch-mcp still maintained?
The repository was last updated yesterday, so video-watch-mcp is actively maintained.

Video Watch MCP

Let Claude "watch" videos with you. Send a TikTok, YouTube, or any video link - Claude sees the frames and reads the transcript.

Fully cloud-hosted. No local processing. Works on Claude Desktop, Claude mobile, anywhere MCP works.

What it does

Three tools, pick based on content:

| Tool | Returns | Best for | |------|---------|----------| | video_listen | Transcript only | Talking heads, podcasts, commentary | | video_see | Frames only | Dance, visual art, memes, scenery | | watch_video | Both | When audio AND visuals both matter |

  1. You send Claude a video link
  2. Claude picks the right tool (or you tell it which)
  3. Cloud service downloads, extracts what's needed
  4. Claude receives just what it needs - no context bloat
  5. You watch it "together"

Quick Start (5 minutes)

1. Create a Modal account

Go to modal.com and sign up. Free tier gives you $30/month in credits - enough for thousands of short videos.

2. Install Modal CLI

pip install modal
modal token set --token-id YOUR_TOKEN_ID --token-secret YOUR_TOKEN_SECRET

(Get your token from Modal's dashboard after signup)

3. Deploy

git clone https://github.com/nekyialabs/video-watch-mcp.git
cd video-watch-mcp
modal deploy mcp_remote.py

You'll get a URL like: https://yourusername--video-watch-mcp-mcp-server.modal.run

4. Add to Claude Desktop

Edit your claude_desktop_config.json:

Windows: %APPDATA%\Claude\claude_desktop_config.json Mac: ~/Library/Application Support/Claude/claude_desktop_config.json

Add under mcpServers:

{
  "mcpServers": {
    "video-watch": {
      "url": "https://yourusername--video-watch-mcp-mcp-server.modal.run"
    }
  }
}

5. Use it

Restart Claude Desktop. Send any video link and ask Claude to watch it:

"Watch this with me: https://tiktok.com/..."

Claude will see the frames and read the transcript.

Supported Platforms

Anything yt-dlp supports:

  • TikTok
  • YouTube
  • Instagram Reels
  • Twitter/X videos
  • Reddit videos
  • Facebook
  • Vimeo
  • And 1000+ more

Cost

With Modal's free tier ($30/month credits):

| Video Length | Approx. Cost | Videos per Month | |--------------|--------------|------------------| | 30 sec | ~$0.002 | ~15,000 | | 5 min | ~$0.01 | ~3,000 | | 30 min | ~$0.05 | ~600 |

You'll never hit the limit with normal use.

How it works

You send a link
       ↓
Claude calls watch_video(url)
       ↓
Modal spins up a container with ffmpeg + whisper
       ↓
yt-dlp downloads the video
       ↓
ffmpeg extracts frames (with timestamps burned in)
       ↓
Whisper transcribes the audio
       ↓
Returns frames as images + transcript text
       ↓
Claude sees everything, you discuss it together

Files

  • mcp_remote.py - The full MCP server (deploy this)
  • video_watch.py - Standalone video processor with web endpoint (if you just want the API)

Configuration

In mcp_remote.py you can adjust:

  • fps - Frames per second to extract (default 0.5 = one frame every 2 seconds)
  • max_frames - Maximum frames to return (default 10, max 20)
  • whisper model - Using "base" for speed, can use "small" or "medium" for accuracy

Updating

Pull the latest code and redeploy — that's it:

cd video-watch-mcp
git pull
modal deploy mcp_remote.py

Your MCP URL stays the same, no client config changes needed.

Coming from the old maryfellowes/video-watch-mcp repo? That repo has been removed. Update your remote:

git remote set-url origin https://github.com/nekyialabs/video-watch-mcp.git
git pull
modal deploy mcp_remote.py

Limitations

  • Very long videos (30+ min) may timeout
  • Audio-only content won't have frames (obviously)
  • Some DRM-protected content won't download
  • Whisper transcription is good but not perfect

Privacy

  • Videos are processed in ephemeral containers - nothing stored
  • No logs of what you watch
  • Your Modal account, your data

License

MIT - do whatever you want with it.


Built by Codependent AI.

Support

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Related Skills

View on GitHub
GitHub Stars10
CategoryDevelopment
Updated1d ago
Forks4

Languages

Python

Trust signals

97/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 info