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-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
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.
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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| video-watch-mcp (this skill)by nekyialabs | 76 | 10 | 1d ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 91.8k | 20d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.5k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.2k | today | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 45.0k | today | CLAUDE.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.
Skill content
View source on GitHubVideo 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 |
- You send Claude a video link
- Claude picks the right tool (or you tell it which)
- Cloud service downloads, extracts what's needed
- Claude receives just what it needs - no context bloat
- 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
- 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
Built by Codependent AI.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
