Video Watcher Server
БесплатноНе проверенMCP server exposing claude-video functionality for claude.ai web UI via HTTP+SSE, enabling video watching and analysis from claude.ai.
Описание
MCP server exposing claude-video functionality for claude.ai web UI via HTTP+SSE, enabling video watching and analysis from claude.ai.
README
MCP server exposing claude-video functionality for claude.ai web UI via HTTP+SSE.
Wraps the claude-video plugin and serves it over the web so you can watch and analyze videos from claude.ai.
Deployment to Render (Free Tier)
Step 1: Create a Render Account
Go to render.com and sign up. Free tier is fine.
Step 2: Create a GitHub Repository
Push this project to a GitHub repo. Render will auto-deploy from GitHub.
git init
git add .
git commit -m "Initial commit"
git remote add origin https://github.com/YOUR_USERNAME/video-watcher-mcp.git
git branch -M main
git push -u origin main
Step 3: Deploy to Render
- Go to dashboard.render.com
- Click New + → Web Service
- Connect your GitHub repo (
video-watcher-mcp) - Set these values:
- Name:
video-watcher-mcp - Runtime: Docker
- Region: Choose closest to you
- Plan: Free (it's free, stays cold until you use it)
- Name:
- Under Environment, add:
GROQ_API_KEY= your Groq API key (get it at console.groq.com)OPENAI_API_KEY= (optional, fallback)
- Click Deploy
Render will build the Docker image and deploy. Takes ~5 minutes. You'll get a URL like https://video-watcher-mcp.onrender.com.
Step 4: Register with claude.ai
- Go to claude.ai
- Open settings (bottom left)
- Find MCP or Connected Services
- Click Add MCP
- Fill in:
- Name: Video Watcher
- Transport: HTTP
- URL:
https://video-watcher-mcp.onrender.com
- Save
Step 5: Test
In claude.ai, ask:
Watch https://www.youtube.com/watch?v=... and tell me what happens
Or use the watch_video tool directly if exposed in the UI.
Local Development
# Install dependencies
pip install -r requirements.txt
# Run server
python server.py
# Starts on http://localhost:8000
# Check health
curl http://localhost:8000/health
Notes
- Free tier sleeps after 15 min of inactivity. First request takes 10-15 seconds to wake up. Fine for occasional use (once every few days).
- No bandwidth limits on free tier.
- API keys: Groq is cheaper/faster. OpenAI is fallback if you have it.
- Video limits: See claude-video docs — recommended under 10 min, hard cap 100 frames.
- No persistence: Frames/transcripts live in
/tmpand are cleaned up after response.
Troubleshooting
"Connection refused" after deploy:
- Free tier may still be spinning up. Wait 30 seconds and retry.
- Check Render dashboard for build logs.
"No transcript available":
- Video has no captions AND Groq/OpenAI API key is missing or invalid.
- Add API key to Render environment vars.
Server crashes:
- Check Render logs: Dashboard → your service → Logs tab.
Architecture
claude.ai (web UI)
↓ HTTPS
MCP Server (running on Render)
↓
Calls scripts/watch.py
↓
Returns frames + transcript
The server is stateless. Each request downloads, processes, and cleans up independently.
License
Same as claude-video (MIT).
Установка Video Watcher Server
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/darischen/video-watcher-mcpFAQ
Video Watcher Server MCP бесплатный?
Да, Video Watcher Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Video Watcher Server?
Нет, Video Watcher Server работает без API-ключей и переменных окружения.
Video Watcher Server — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Video Watcher Server в Claude Desktop, Claude Code или Cursor?
Открой Video Watcher Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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