ClipACanvas
Clip.A.Canvas
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 Gemini, Codex, Claude Code, and other AI clients.
Terminal UI (TUI): Keyboard-first command-line client for code-first rendering.
Website:
https://clipacanvas.vercel.appGitHub:
https://github.com/mechreaper007x/ClipACanvasReleases:
https://github.com/mechreaper007x/ClipACanvas/releases/tag/v1.0.0Cloud MCP (SSE):
https://mechreaper007x-clip-a-canvas-mcp.hf.space/sse
🎬 MCP Server (Model Context Protocol)
Expose render_video and render_video_to_file tools to your AI assistant.
1. Cloud-Hosted (Zero Resource Usage)
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"
}
}
}2. Local Execution (Standard PyPI)
If you prefer running the server locally on your machine:
# Run locally with uvx
uvx clipacanvas-mcp
# Or install via pip
pip install clipacanvas-mcpClaude Desktop Configuration for Local Server:
{
"mcpServers": {
"clipacanvas": {
"command": "uvx",
"args": ["clipacanvas-mcp"]
}
}
}💻 Terminal UI (TUI)
A keyboard-first CLI tool for local render pipelines.
Install from PyPI:
# Using pipx (recommended)
pipx install clipacanvas-tui
# Using uv
uv tool install clipacanvas-tuiUsage:
Run either command (clipacanvas-tui or clippp):
clipacanvas-tui --clipboard --preview
# or
clippp --clipboard --preview🖥️ Desktop App
A visual UI for editing, previewing, and rendering HTML code to MP4.
Install Dependencies:
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 chromiumRun the App:
Windows: Run
launch_desktop.batorpython desktop_app.pymacOS: Run
./launch_desktop.command
🏗️ Build Outputs & Packaged Releases
See build_desktop.py to package binaries:
Windows Portable EXE:
python build_desktop.py->dist/ClipACanvas.exeWindows Installer:
python build_installer.py->dist/ClipACanvas-Setup.exemacOS Bundle:
python3 build_mac_app.py->dist/ClipACanvas.app
📄 License
MIT
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