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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
mechreaper007x avatar

Clipacanvas

mechreaper007x/clipacanvas
STDIOregistry active
Summary

Exposes two tools to Claude and other MCP clients: render_video and render_video_to_file. Both use Playwright with Chromium to load your HTML/CSS/JS, capture frame-by-frame screenshots, then pipe them through FFmpeg into MP4. You can run it locally via uvx or pip, or point directly at the hosted SSE endpoint on Hugging Face Spaces if you want zero local setup. The same engine powers a pywebview desktop app and a keyboard-driven TUI, so you're using the same renderer whether you're working through chat, command line, or GUI. Useful when you need an AI to generate animated explainers, UI demos, or data visualizations and deliver actual video files instead of static code.

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Clip.A.Canvas

Clip.A.Canvas logo

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


🎬 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 --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"]
    }
  }
}

💻 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-tui

Usage:

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 chromium

Run the App:

  • Windows: Run launch_desktop.bat or python desktop_app.py
  • macOS: Run ./launch_desktop.command

🏗️ Build Outputs & Packaged Releases

See build_desktop.py to package binaries:

  • Windows Portable EXE: python build_desktop.py -> dist/ClipACanvas.exe
  • Windows Installer: python build_installer.py -> dist/ClipACanvas-Setup.exe
  • macOS Bundle: python3 build_mac_app.py -> dist/ClipACanvas.app

📄 License

MIT

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Categories
Web & Browser AutomationDesign & CreativeMedia & Entertainment
Registryactive
Packageclipacanvas-mcp
TransportSTDIO
UpdatedMay 26, 2026
View on GitHub

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