Anime.js MCP Server

Anime.js MCP Server

Provides AI assistants with comprehensive access to the Anime.js animation library, including API coverage, documentation, examples, and performance tips.

Category
Visit Server

README

Anime.js MCP Server

A Model Context Protocol (MCP) server providing AI assistants with comprehensive access to Anime.js animation library components, APIs, examples, and documentation.

Features

  • 🎬 Complete Anime.js API Coverage: Access to all major Anime.js functions and properties
  • 📚 Rich Documentation: Built-in guides for getting started, easing functions, performance optimization
  • 🎯 Interactive Examples: Ready-to-use code examples for common animation patterns
  • 🔍 Smart Search: Find relevant examples and documentation quickly
  • Performance Tips: Best practices for smooth animations
  • 🎨 Animation Patterns: Transform, timeline, stagger, SVG, morphing, and more

Installation

Via npm

npm install -g anime-js-mcp-server

Via npx (recommended)

npx anime-js-mcp-server

Usage

Basic Usage

# Start the server
npx anime-js-mcp-server

# With GitHub API token for enhanced features
npx anime-js-mcp-server --github-api-key YOUR_GITHUB_TOKEN

Environment Variables

export GITHUB_PERSONAL_ACCESS_TOKEN=your_token_here
export LOG_LEVEL=info  # debug, info, warn, error

MCP Tools

Component Information

  • get_anime_component: Get detailed info about specific Anime.js APIs
  • list_anime_components: Browse all available components by category

Examples and Tutorials

  • get_anime_example: Get complete code examples for animation patterns
  • search_anime_examples: Search through examples by keywords
  • get_anime_docs: Access comprehensive documentation topics

Supported Animation Types

Core Animations

  • Basic Transforms: translate, rotate, scale, skew
  • CSS Properties: opacity, colors, dimensions, positioning
  • Timeline Sequences: Complex multi-step animations
  • Stagger Effects: Grid-based and directional delays

Advanced Features

  • SVG Path Animations: Path following and morphing
  • Text Animations: Letter-by-letter effects
  • Elastic & Physics: Spring and bounce effects
  • Performance Optimization: Hardware acceleration tips

Example Usage with Claude

# Get started with Anime.js
"How do I create a basic slide-in animation?"

# Explore specific features
"Show me timeline examples for sequential animations"

# Search for patterns
"Find examples with stagger effects"

# Get performance tips
"How do I optimize animations for mobile?"

API Reference

Tools Available

Tool Description Parameters
get_anime_component Get component documentation componentName (required)
list_anime_components List all components category (optional)
get_anime_example Get code example exampleType (required)
search_anime_examples Search examples query (required)
get_anime_docs Get documentation topic (required)

Categories

  • core: Main animation functions (anime, timeline)
  • utilities: Helper functions (stagger, random, set)
  • svg: SVG-specific animations (path, morphing)

Example Types

  • basic-transform - Simple transform animations
  • timeline-sequence - Sequential timeline animations
  • stagger-grid - Grid-based stagger effects
  • svg-path - SVG path animations
  • text-animation - Text effects
  • elastic-bounce - Physics-based easing
  • morphing - CSS property morphing
  • keyframes - Complex keyframe animations

Documentation Topics

  • getting-started - Installation and basic usage
  • animation-controls - Play, pause, seek controls
  • easing - All easing functions and custom curves
  • performance - Optimization best practices
  • timeline - Timeline and sequencing
  • stagger - Stagger effects and patterns

Configuration

Claude Desktop Integration

Using Claude MCP CLI (Recommended)

If you have Claude MCP CLI installed, you can add the server with a single command:

claude mcp add anime-js --scope user --cmd /c npx anime-js-mcp-server

With GitHub token for enhanced features:

claude mcp add anime-js --scope user --cmd /c  npx anime-js-mcp-server --env GITHUB_PERSONAL_ACCESS_TOKEN=your_token_here

Manual Configuration

Alternatively, add to your Claude Desktop configuration manually:

{
  "mcpServers": {
    "anime-js": {
      "command": "npx",
      "args": ["anime-js-mcp-server"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "your_token_here"
      }
    }
  }
}

GitHub Copilot Integration

The Anime.js MCP Server integrates seamlessly with GitHub Copilot through the Model Context Protocol, providing enhanced animation development capabilities directly in your IDE.

VS Code Setup

  1. Install GitHub Copilot Extension (if not already installed):

    code --install-extension GitHub.copilot
    code --install-extension GitHub.copilot-chat
    
  2. Configure MCP Server in VS Code:

    Create or update your VS Code settings file (.vscode/settings.json in your workspace or global settings):

    {
      "github.copilot.chat.mcpServers": {
        "anime-js": {
          "command": "npx",
          "args": ["anime-js-mcp-server"],
          "env": {
            "GITHUB_PERSONAL_ACCESS_TOKEN": "your_github_token_here",
            "LOG_LEVEL": "info"
          }
        }
      }
    }
    
  3. Using with GitHub Copilot Agent Mode:

    With the server configured, you can use natural language prompts in Copilot Chat:

    @workspace Use the anime-js MCP server to create a staggered grid animation for my portfolio gallery
    
    @workspace Show me how to implement elastic bounce animations using the anime-js examples
    
    @workspace Get anime.js timeline documentation and create a sequential loading animation
    

JetBrains IDEs (IntelliJ, WebStorm, etc.)

  1. Enable GitHub Copilot Plugin

  2. Configure MCP Settings:

    In your IDE settings, add MCP server configuration:

    {
      "copilot.chat.mcpServers": {
        "anime-js": {
          "command": "npx",
          "args": ["anime-js-mcp-server"]
        }
      }
    }
    

Remote MCP Server Configuration

For production environments, you can deploy the MCP server remotely:

{
  "github.copilot.chat.mcpServers": {
    "anime-js-remote": {
      "url": "https://your-server.com/mcp",
      "headers": {
        "Authorization": "Bearer your-api-key"
      }
    }
  }
}

Copilot Agent Features

With MCP integration, GitHub Copilot can:

  • Auto-generate animations based on design descriptions
  • Create complete animation workflows with proper Anime.js patterns
  • Suggest performance optimizations using built-in best practices
  • Generate responsive animations that work across devices
  • Create custom easing functions and complex timelines

Gemini CLI Integration

The Anime.js MCP Server works perfectly with Google's Gemini CLI, enabling powerful AI-driven animation development workflows.

Installation and Setup

  1. Install Gemini CLI:

    npm install -g @google-ai/gemini-cli
    
  2. Configure the MCP Server:

    Add to your Gemini CLI configuration file (~/.gemini/settings.json):

    {
      "mcpServers": {
        "anime-js": {
          "command": "npx",
          "args": ["anime-js-mcp-server"],
          "env": {
            "GITHUB_PERSONAL_ACCESS_TOKEN": "your_token_here",
            "LOG_LEVEL": "info"
          },
          "transport": "stdio"
        }
      }
    }
    
  3. Alternative: Direct Command Configuration:

    gemini config add-mcp-server anime-js npx anime-js-mcp-server
    

Using with Gemini CLI

Once configured, you can leverage the full power of Gemini with Anime.js knowledge:

# Interactive animation development
gemini chat "Create a morphing SVG animation using anime.js for my logo"

# Get specific examples
gemini chat "Show me a stagger grid animation example and explain how to customize timing"

# Performance optimization
gemini chat "Analyze my animation code and suggest performance improvements using anime.js best practices"

# Complex workflow automation
gemini chat "Create a complete animation system with multiple timelines for my web app"

Advanced Gemini CLI Features

The Gemini CLI's ReAct (Reason and Act) loop combined with the Anime.js MCP server enables:

  • Intelligent Code Generation: Context-aware animation code that follows best practices
  • Real-time Problem Solving: Debug animation issues with specific Anime.js knowledge
  • Multi-step Workflows: Complex animation implementations broken down into manageable steps
  • Documentation Integration: Instant access to Anime.js docs, examples, and patterns

Gemini CLI Agent Mode

Enable agent mode for autonomous animation development:

# Start agent mode with anime.js capabilities
gemini agent --enable-mcp anime-js

# Example agent workflows
gemini agent "Implement a complete page transition system with anime.js"
gemini agent "Create responsive animations that adapt to screen size"
gemini agent "Build an interactive animation playground with controls"

Remote MCP Server with Gemini CLI

For team environments or CI/CD integration:

{
  "mcpServers": {
    "anime-js-team": {
      "url": "wss://your-team-server.com/mcp/anime-js",
      "transport": "websocket",
      "headers": {
        "Authorization": "Bearer team-api-key"
      }
    }
  }
}

Integration Benefits

Combining Gemini CLI with the Anime.js MCP Server provides:

  • 🎯 Precise Animation Code: Generated code follows Anime.js conventions exactly
  • 📚 Rich Context: Access to complete Anime.js documentation and examples
  • ⚡ Rapid Prototyping: From concept to working animation in minutes
  • 🔧 Smart Debugging: AI-powered troubleshooting with animation-specific knowledge
  • 🎨 Creative Assistance: Generate complex animation ideas and implementations

Development Setup

# Clone and install
git clone https://github.com/juliangarnier/anime-js-mcp-server.git
cd anime-js-mcp-server
npm install

# Build and run
npm run build
npm start

# Development mode
npm run dev

Architecture

The server follows MCP best practices with:

  • Request Validation: Zod schema validation for all inputs
  • Error Handling: Comprehensive error handling and logging
  • Caching: Intelligent caching for performance
  • Circuit Breakers: Resilient external API calls
  • Logging: Configurable logging levels

Contributing

We welcome contributions! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Add tests for new functionality
  4. Submit a pull request

License

MIT License - see LICENSE file for details.

Related Projects

Publishing to NPM

This package is configured for publishing to npm. Follow these steps to publish:

Prerequisites

  1. Node.js: Ensure you have Node.js 18.0.0 or higher installed
  2. NPM Account: You need an npm account and access to publish under the @animejs scope
  3. Authentication: Log in to npm using npm login

Publishing Steps

  1. Build the package:

    npm run build
    
  2. Test the package (optional but recommended):

    npm test
    
  3. Publish to npm:

    npm publish
    

    The prepublishOnly script will automatically:

    • Clean the build directory
    • Build the TypeScript source
    • Make the binary executable

Version Management

  • Update the version in package.json before publishing
  • Use semantic versioning (semver): major.minor.patch
  • Consider using npm version to automatically update and tag:
    npm version patch  # for bug fixes
    npm version minor  # for new features
    npm version major  # for breaking changes
    

Package Configuration

The package is configured with:

  • Name: anime-js-mcp-server
  • Entry point: ./build/index.js
  • Binary: anime-js-mcp-server command
  • Files included: build/, README.md, LICENSE
  • License: MIT

Troubleshooting

  • Make sure your npm registry is set correctly: npm config get registry
  • If you encounter permission errors, ensure you're logged in: npm whoami
  • For publishing updates, increment the version number in package.json

Support


Built with ❤️ for the animation community

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured