Turn hand-drawn Excalidraw diagrams into keyframe animations

npm version npm downloads license GitHub stars

App · Landing Page · Feedback · MCP Server Docs · Report Bug

Draw diagrams with the full Excalidraw editor, then animate elements with opacity fades, position slides, scale effects, rotation, and arrow draw-on animations. Export as MP4, WebM, GIF, or animated SVG. Includes an MCP server so AI agents can create and animate diagrams in real-time.

@excalimate/mcp-server MCP server

Demo

https://github.com/user-attachments/assets/77e87c62-0ff4-4a56-aee6-50553b94798c

[!CAUTION] A considerable part of this codebase was built with AI. The process of cleaning up the code and fixing bugs is still ongoing — use it cautiously. If you encounter any issues, please report them.

Features

  • Full Excalidraw editor — draw, edit, resize, connect arrows, add text
  • Keyframe animation — opacity, position, scale, rotation, draw progress
  • Timeline — collapsible per-element tracks with interpolation lines, clip markers, scrubbing
  • Sequence reveal — stagger-reveal multiple elements with one click
  • Camera animation — pan/zoom keyframes with aspect ratio control
  • Export — MP4 (H.264), WebM (VP9), GIF, animated SVG
  • E2E encrypted sharing — AES-256-GCM, key stays in the URL hash fragment
  • MCP server — 23 tools for AI-driven scene creation, animation, and sharing
  • Live mode — watch AI changes appear in the editor in real-time via SSE

Quick Start

Try it now — no cloning required:

npx @excalimate/mcp-server

Open app.excalimate.com, click the Live button, and point your AI tool to http://localhost:3001/mcp.

Local development

npm install
npm run dev
# → http://localhost:5173

AI Integration (MCP Server)

The MCP server lets AI agents (Copilot, Claude, Cursor, Windsurf) create and animate diagrams for you. Start the server, connect your AI tool, and watch diagrams appear live in app.excalimate.com.

npx @excalimate/mcp-server              # default port 3001
npx @excalimate/mcp-server --port 4000  # custom port

Add to .vscode/mcp.json:

{
  "servers": {
    "excalimate": {
      "type": "http",
      "url": "http://localhost:3001/mcp"
    }
  }
}

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "excalimate": {
      "command": "npx",
      "args": ["@excalimate/mcp-server", "--stdio"]
    }
  }
}

[!NOTE] Claude Desktop uses stdio transport — no live preview. Use save_checkpoint or share_project to view results in app.excalimate.com.

npx @excalimate/mcp-server &
claude mcp add excalimate http://localhost:3001/mcp

Point your MCP client to http://localhost:3001/mcp and start the server with npx @excalimate/mcp-server.

[!TIP] HTTP mode (default) enables live preview — you see the AI's changes in real-time. stdio mode is only needed for tools that don't support HTTP transport.

See mcp-server/README.md for the full tool reference and configuration guide.

AI Skills (Optional)

Excalimate ships with 16 specialized skills that teach AI agents how to create specific diagram types (architecture diagrams, flowcharts, sequence diagrams, etc.) with proper animation patterns. Skills dramatically improve output quality.

GitHub Copilot (recommended):

npx skills add https://github.com/excalimate/excalimate

Manual installation (any agent):

Copy the skills/ directory into your project, or point your agent's skill/context configuration to the skill files. Each skill is a standalone SKILL.md file that can be loaded as context.

Available skills: excalimate-core · animated-presentations · animation-patterns · architecture-diagrams · comparison-diagrams · data-pipelines · diagram-theming · er-diagrams · explainer-animations · export-optimization · flowcharts · mind-maps · network-topologies · org-charts · sequence-diagrams · timeline-roadmaps

Usage

Edit Mode

Draw your diagram using the Excalidraw editor. All standard tools work — rectangles, ellipses, arrows, text, groups, etc.

Animate Mode

Switch to Animate mode (Ctrl+E) to:

  1. Select elements and modify properties — keyframes are created automatically
  2. Scrub the timeline, move keyframes, and set the clip range
  3. Use Sequence Reveal for staggered element animations
  4. Export to MP4, WebM, GIF, or animated SVG

Sharing

Share your animation via File → Share. The project is encrypted client-side with AES-256-GCM and uploaded as an opaque blob — the server never sees the encryption key.

Architecture

excalimate/
├── src/                        # React web app (Vite + TypeScript)
│   ├── components/             # UI (Mantine + Tailwind CSS)
│   ├── core/                   # Animation engine, interpolation, playback
│   ├── stores/                 # Zustand state management
│   ├── services/               # Export pipeline, encryption, file I/O
│   └── hooks/                  # MCP live, hotkeys, auto-save
├── mcp-server/                 # MCP server (Node.js + Express)
│   └── src/server/             # Modular tool registrations
├── skills/                     # AI skill definitions (16 skills)
└── docs/                       # Design guidelines, plans

The web app is a static SPA — all rendering, animation, and editing happens in the browser. The MCP server is optional, used only for AI integration and live preview.

Tech Stack

Layer Technology
UI React 19, Mantine 8, Tailwind CSS 4, Tabler Icons
Canvas Excalidraw 0.18
State Zustand
Animation Custom keyframe engine with interpolation + easing
Export WebCodecs (MP4/WebM), gif.js, SVG
Encryption Web Crypto API (AES-256-GCM)
MCP Server Node.js, Express, MCP SDK
Build Vite 7, TypeScript 5.9
Deployment Cloudflare Pages, Cloudflare Workers, Cloudflare R2

Development

npm run dev          # Start dev server
npm run build        # Production build
npm run test         # Run tests
npm run lint         # ESLint

Privacy-sensitive deployment settings

The privacy notice depends on production configuration as well as source code:

  • Configure the landing-page Cloudflare Workers build with root directory landing-page, build command npm run build, and deploy command npx wrangler versions upload --config dist/server/wrangler.json. The Cloudflare adapter generates that server configuration during the build.
  • Use only Cloudflare edge/zone aggregate traffic analytics. Do not enable the Cloudflare Web Analytics browser beacon or export request logs for analytics.
  • Do not describe or use Cloudflare's IP-derived unique-visitor metric as anonymous. Delete raw/exported Cloudflare reports within 30 days; aggregate trend reports may be retained without a fixed limit.
  • Keep PostHog on Cloud EU with IP capture, autocapture, session replay, surveys, product tours, web experiments, and feature flags disabled. Set event retention to no more than 12 months and review the DPA and subprocessors before release.
  • Retain the legitimate-interest and ePrivacy assessments for Cloudflare, GitHub's star-count request, and the pinned unpkg dotLottie runtime. Review the DPIA screening, Article 30 record, and any transfer assessment when a data flow changes.
  • Obtain legal approval for the deployed notice and account settings. If the GitHub or unpkg request cannot rely on the documented ePrivacy position in a target jurisdiction, self-host/proxy it or gate it before release.

MCP server:

cd mcp-server
npm install && npm run build
node dist/index.js              # HTTP mode
node dist/index.js --stdio      # stdio mode
node dist/index.js --port 4000  # custom port

Acknowledgements

This project was inspired by excalidraw-animate by Daishi Kato, which demonstrated that Excalidraw drawings could be brought to life with animations. Thank you for the inspiration!

Built with Excalidraw — the amazing open-source virtual whiteboard.

License

MIT — see LICENSE