Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"clipacanvas": {
"url": "https://mechreaper007x-clip-a-canvas-mcp.hf.space/sse"
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
Clip.A.Canvas transforms HTML/CSS/JS animations into MP4 videos — entirely local or hosted in the cloud. Powered by Chromium + FFmpeg for high-quality, browser-accurate rendering. Perfect for AI agents generating video content, demos, or visual explanations on-the-fly.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'python' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked python against OSV.dev.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in browser
Browser automation with Puppeteer for web scraping and testing
🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.
MCP server for Firecrawl — search, scrape, and interact with the web. Supports both cloud and self-hosted instances. Features include web search, scraping, page interaction, batch processing, and LLM-powered content analysis.
The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.
MCP Security Weekly
Get CVE alerts and security updates for io.github.mechreaper007x/clipacanvas and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
Clip.A.Canvas transforms HTML/CSS/JS animations into MP4 videos — entirely local or hosted in the cloud. Powered by Chromium + FFmpeg for high-quality, browser-accurate rendering. Perfect for AI agents generating video content, demos, or visual explanations on-the-fly.
Clip.A.Canvas is a local and remote browser-motion-to-video toolkit.
It includes:
Desktop App: Paste, preview, and export animations locally with a pywebview UI.
MCP Server: Exposes HTML-to-video rendering tools to Antigravity, Gemini, Codex, Claude Code, and other AI clients.
Terminal UI (TUI): Keyboard-first command-line client for code-first rendering.
Website: https://clipacanvas.vercel.app
GitHub: https://github.com/mechreaper007x/ClipACanvas
Releases: https://github.com/mechreaper007x/ClipACanvas/releases/tag/v1.0.0
Cloud MCP (SSE): https://mechreaper007x-clip-a-canvas-mcp.hf.space/sse
Expose render_video and render_video_to_file tools to your AI assistant.
We host a public instance of the MCP server on Hugging Face Spaces using Server-Sent Events (SSE). Point your client configuration directly to our cloud endpoint:
Claude Desktop Configuration (claude_desktop_config.json):
{
"mcpServers": {
"clipacanvas": {
"url": "https://mechreaper007x-clip-a-canvas-mcp.hf.space/sse"
}
}
}
If you prefer running the server locally on your machine:
# Run locally with uvx
uvx --from clipacanvas-mcp clipmcp
# Or install via pip
pip install clipacanvas-mcp
Claude Desktop Configuration for Local Server:
{
"mcpServers": {
"clipacanvas": {
"command": "uvx",
"args": ["--from", "clipacanvas-mcp", "clipmcp"]
}
}
}
A keyboard-first CLI tool for local render pipelines.
# Using pipx (recommended)
pipx install clipacanvas-tui
# Using uv
uv tool install clipacanvas-tui
Run either command (clipacanvas-tui or clippp):
clipacanvas-tui --clipboard --preview
# or
clippp --clipboard --preview
A visual UI for editing, previewing, and rendering HTML code to MP4.
git clone https://github.com/mechreaper007x/ClipACanvas.git
cd ClipACanvas
pip install -r requirements.txt
pip install -r desktop_requirements.txt
npm install
python -m playwright install chromium
launch_desktop.bat or python desktop_app.py./launch_desktop.commandSee build_desktop.py to package binaries:
python build_desktop.py -> dist/ClipACanvas.exepython build_installer.py -> dist/ClipACanvas-Setup.exepython3 build_mac_app.py -> dist/ClipACanvas.appMIT