AgentStack
MCP verified MIT Self-run

Video Watch Mcp

mcp-codependentai-video-watch-mcp · by codependentai

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

No reviews yet
0 installs
16 views
0.0% view→install

Install

$ agentstack add mcp-codependentai-video-watch-mcp

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

Are you the author of Video Watch Mcp? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

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/codependentai/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/codependentai/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.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet — be the first.

Versions

  • v0.1.0 Imported from the upstream source.