How do I install SVG To Video?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does SVG To Video need an API key?

The publisher lists these environment variables: DO_NOT_TRACK, MCP_HOSTED, PUPPETEER_EXECUTABLE_PATH, PUPPETEER_ARGS.

What transport does SVG To Video use?

SVG To Video runs locally over stdio.

When was SVG To Video last checked?

Last checked 2026-11-10. Convert animated SVG (CSS/SMIL) to video (MP4/WebM) or image (GIF/aPNG) with in-band delivery.

SVG To Video MCP server

Power your agent

Add this server

The publisher's own command. Not a PlugMCP endpoint.

Add to Cursor Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Local command

npx -y @gehdoc/[email protected]

Credentials from the publisher

DO_NOT_TRACK — Set to '1' or 'true' to disable anonymous usage telemetry.
MCP_HOSTED — Set to 'true' or '1' to enforce security sandboxing against path traversal by forbidding local file path arguments.
PUPPETEER_EXECUTABLE_PATH — Custom file path to a system Chromium or Chrome binary.
PUPPETEER_ARGS — Additional command-line flags to pass to the Puppeteer Chromium instance.

Claude Code has no install link for a local command. Copy the command below and run it in a terminal.

shClaude Code

1DO_NOT_TRACK=<value> MCP_HOSTED=<value> PUPPETEER_EXECUTABLE_PATH=<value> PUPPETEER_ARGS=<value> claude mcp add io.github.gehdoc-svg-to-video -- npx -y @gehdoc/svg-to-video@0.33.0

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "io.github.gehdoc-svg-to-video": {4      "command": "npx",5      "args": [6        "-y",7        "@gehdoc/[email protected]"8      ],9      "env": {10        "DO_NOT_TRACK": "<value>",11        "MCP_HOSTED": "<value>",12        "PUPPETEER_EXECUTABLE_PATH": "<value>",13        "PUPPETEER_ARGS": "<value>"14      }15    }16  }17}

claude_desktop_config.json

Local · npmPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

SVG to Video

A high-fidelity tool to transform your CSS-animated SVGs into high-quality videos (MP4, WebM, MKV, MOV) or lightweight animated formats (aPNG, GIF) with perfect alpha-channel transparency directly in your browser or via CLI/MCP server.

🌟 Why SVG to Video?

Transparent Backgrounds: Export your animations with a full alpha channel using WebM or aPNG, and optimized indexed transparency with GIF89a. Perfect for overlays in video editing tools or web use.
Privacy-First: The Web Studio runs entirely in your browser—your SVG files never leave your computer.
Frame-Accurate: Our engine scrubs the Web Animations API, ensuring every frame is captured exactly as rendered.
AI Agent Native: Native Model Context Protocol (MCP) server and Agent Skill (SKILL.md) support indexed on the official MCP Registry (mcp.json) and hosted live on HuggingFace Spaces.
Universal Animated Formats: Beyond video, generate lightweight Animated PNGs (aPNG) and GIFs perfect for documentation, Slack, or GitHub, with full control over background transparency.
Copy to Clipboard: Instant export to Base64 Data URL—copy your video and embed it directly into your HTML, CSS, or JS code without manual downloads. Perfect for rapid prototyping and developers.
Metadata Injection: Support for custom titles and comments across video (MP4, WebM, MKV, MOV) and animated image (aPNG, GIF) formats.
Versatile: Whether you need an accessible Web Studio for quick conversions or a powerful CLI tool for batch automation and CI/CD pipelines, this project has you covered.

🚀 Getting Started

Choose the entry point that matches your needs:

Web Studio: The easiest way to convert SVGs to video, high-fidelity aPNG, or optimized GIF in your browser without any installation.
CLI / Docker Tool: For batch processing, server-side automation, and CI/CD integration.
AI Agent & MCP Server: For Claude Desktop, Cursor, Antigravity, and autonomous LLM workflows.

🌐 Web Studio

🚀 Try the Web Studio

Our Web Studio is a serverless, client-side rendering tool. It runs entirely in your browser using WebCodecs—your SVG files never leave your computer, ensuring absolute privacy. The interface is optimized for high-productivity on screens starting from 720p resolution.

Automated Demo: The demo video at the top of this README is automatically generated and updated by our CI/CD pipeline using Playwright and Driver.js, ensuring it always reflects the latest UI changes.

Privacy Note: We use Umami Analytics to collect anonymous usage data across our Web Studio, CLI, and MCP server interfaces (e.g., number of conversions and format usage) to help us improve the tool. This tracking is cookie-less, respects standard "Do Not Track" settings (set the DO_NOT_TRACK=1 environment variable to opt out), and never collects personal information or SVG contents. See docs/ANALYTICS.md for details.

Explore our Visual Gallery (Storybook) to see how the engine handles complex CSS and fonts.

Quick Start

Open the Web Studio.
Drag and drop your .svg file, or test the engine instantly with 1-click built-in samples.
Adjust resolution, duration, and FPS.
Select your format, toggle Transparent Background if needed, and ensure High-Fidelity Capture is enabled for best results.
Click Export.

🚀 CLI / Docker Tool

For automated or batch processing, use the CLI tool. It is built to run in a headless environment, making it perfect for CI/CD pipelines or server-side automation.

Quick Start

Ensure Node.js and FFmpeg are installed.

# Node.js (auto-detected duration)
npx -y -p @gehdoc/svg-to-video svg-to-video input.svg 60 ./out-dir

# Node.js (explicit duration & GIF output)
npx -y -p @gehdoc/svg-to-video svg-to-video input.svg 60 ./out-dir -d 5 --format gif --transparent

# Node.js (custom resolution dimensions e.g. vertical 1080x1920)
npx -y -p @gehdoc/svg-to-video svg-to-video input.svg 60 ./out-dir --resolution 1080x1920

# Node.js (animated PNG output)
npx -y -p @gehdoc/svg-to-video svg-to-video input.svg 60 ./out-dir -d 5 --format apng

# Docker (zero local dependencies; requires --shm-size=2gb for Chromium rendering; add :Z to -v for SELinux / Fedora)
docker run --rm --shm-size=2gb -e PUPPETEER_ARGS="--no-sandbox" -v $(pwd):/data:Z gehdoc/svg-to-video /data/input.svg 60 /data/out-dir -d 5 --format gif

See docs/CLI.md for full usage, arguments, and options. For local building and source execution, see CONTRIBUTING.md.

🤖 AI Agent & MCP Integration

Connect svg-to-video to AI Assistants (Claude Desktop, Cursor, Antigravity, AutoGPT) via Model Context Protocol:

Add to mcpServers config:

{
  "mcpServers": {
    "svg-to-video": {
      "command": "npx",
      "args": ["-y", "-p", "@gehdoc/svg-to-video", "svg-to-video-mcp"]
    }
  }
}

Prompt your AI Assistant:

"Convert examples/example.svg into a 60fps transparent WebM video."

See docs/MCP.md for full setup instructions, tool schemas, Docker execution, and agent prompting guides.

🔗 Official Package Distributions

📦 npm Package: @gehdoc/svg-to-video
🐳 Docker Hub Image: gehdoc/svg-to-video
🌐 Web Studio: gehdoc.github.io/svg-to-video/
🤖 MCP Registry: io.github.GehDoc/svg-to-video
🤗 HuggingFace Space: GehDoc/svg-to-video-mcp

📦 Quick Installation & Execution

# Run on-demand via npx (no global installation required)
npx -y -p @gehdoc/svg-to-video svg-to-video input.svg 60 ./out-dir

# Install globally via npm
npm install -g @gehdoc/svg-to-video

# Pull official Docker image from Docker Hub
docker pull gehdoc/svg-to-video:latest

🛠 Technical Details

For a deep dive into the rendering engine, algorithms, and infrastructure, see docs/ARCHITECTURE.md.

The tool works by isolating the SVG, scrubbing the Web Animations API, and capturing frames via WebCodecs or FFmpeg.

❓ FAQ

Common questions about privacy, how frame scrubbing works, CI/CD automation, and transparency support are answered in docs/FAQ.md.

🤝 Contributing

Contributions are welcome! This project follows a Spec-Driven Development (SDD) workflow to ensure clear requirements and high quality. Please open an issue or pull request.

Check out our Active Roadmap to see what we're working on next.

For instructions on contributing, build commands, security standards, and the technical roadmap, please see CONTRIBUTING.md.

💖 Support the Project

If you find this tool helpful, please consider supporting its development:

Your support helps cover maintenance and further development of the tool. Thank you!

📜 License

This project is licensed under the MIT License.

Add this server

Host a copy with our keys and logs.

Server facts

Tools

Questions

How do I install SVG To Video?

Does SVG To Video need an API key?

What transport does SVG To Video use?

When was SVG To Video last checked?

Documentation

SVG to Video

🌟 Why SVG to Video?

🚀 Getting Started

🌐 Web Studio

Quick Start

🚀 CLI / Docker Tool

Quick Start

🤖 AI Agent & MCP Integration

🔗 Official Package Distributions

📦 Quick Installation & Execution

🛠 Technical Details

❓ FAQ

🤝 Contributing

💖 Support the Project

📜 License