MCP Scroll Animation Analyzer

MCP Scroll Animation Analyzer

Analyzes scroll-triggered animations on any webpage using Playwright, extracting GSAP, ScrollTrigger, Lenis, and CSS code via AST and runtime detection.

Category
Visit Server

README

MCP Scroll Animation Analyzer

A Model Context Protocol (MCP) server that uses Playwright to analyze scroll-triggered animations on any webpage. Unlike GSAP generation MCPs, this focuses on analyzing existing websites to extract and understand animations built with GSAP, ScrollTrigger, Lenis, and CSS.

Features

  • AST-based extraction - Uses Acorn for reliable JavaScript parsing (not regex)
  • Open any webpage in a real Chromium browser
  • Scroll and record - capture video and screenshots as you scroll
  • Extract animation code - find GSAP, ScrollTrigger, and Lenis code
  • Interactive analysis - click, hover, and interact while recording
  • Watch specific elements - track style changes on individual elements
  • Generate reports - JSON, Markdown, or HTML reports
  • Export replicable code - generate standalone code (vanilla JS, React, Vue)
  • CLI support - use standalone without MCP integration

Installation

1. Install dependencies

cd mcp-scroll-analyzer
npm install

2. Install Playwright browsers

npx playwright install chromium

3. Build the TypeScript

npm run build

4. Configure Claude Code

Add the MCP server to your Claude Code configuration.

For VSCode Claude Code extension, add to your .vscode/mcp.json:

{
  "mcpServers": {
    "scroll-analyzer": {
      "command": "node",
      "args": ["C:/path/to/mcp-scroll-analyzer/dist/index.js"]
    }
  }
}

For Claude Code CLI, add to ~/.claude/claude_desktop_config.json:

{
  "mcpServers": {
    "scroll-analyzer": {
      "command": "node",
      "args": ["C:/path/to/mcp-scroll-analyzer/dist/index.js"]
    }
  }
}

CLI Usage

The analyzer can also be used standalone via CLI:

# Analyze a webpage
npx scroll-analyzer analyze https://example.com

# With options
npx scroll-analyzer analyze https://example.com --output ./reports --format html

# Export replicable code
npx scroll-analyzer export https://example.com --target react

CLI Commands

analyze <url>  - Analyze a webpage and generate a report
  Options:
    -o, --output <dir>     Output directory (default: ./scroll-analysis-output)
    -f, --format <type>    Report format: json|markdown|html (default: markdown)
    --no-headless          Run browser in visible mode
    -w, --width <pixels>   Viewport width (default: 1920)
    -h, --height <pixels>  Viewport height (default: 1080)

export <url>   - Analyze and export replicable code
  Options:
    -o, --output <dir>     Output directory
    -t, --target <fw>      Framework: vanilla|react|vue (default: vanilla)

Available MCP Tools

Page Management

Tool Description
open_page Open a URL in headless browser for analysis
close_browser Close browser and clean up resources
set_output_directory Set where screenshots/videos/reports are saved

Scroll & Recording

Tool Description
scroll_and_record Scroll through page, record video, capture screenshots
capture_current_state Take screenshot at current scroll position

Animation Analysis

Tool Description
extract_animation_code Extract GSAP, ScrollTrigger, Lenis code (AST-based)
deep_script_analysis Deep analysis of all JS for animation patterns
get_scroll_triggers Get all ScrollTrigger instances and configs
analyze_lenis Analyze Lenis smooth scroll configuration
get_animation_css Extract CSS animations and keyframes

Element Inspection

Tool Description
watch_element Watch element for style changes during scroll
get_element_animations Get all animations affecting a specific element
trace_animation_execution Capture GSAP calls in real-time during scroll

Interaction

Tool Description
interact_with_page Click, hover, scroll to, or type on elements

Output

Tool Description
generate_report Generate JSON, Markdown, or HTML report
export_replicable_code Generate standalone code (vanilla/React/Vue)

Usage Examples

Basic Analysis Workflow

1. open_page(url: "https://example.com")
2. scroll_and_record()
3. extract_animation_code()
4. get_scroll_triggers()
5. generate_report(format: "markdown")
6. close_browser()

Watch a Specific Element

1. open_page(url: "https://example.com")
2. watch_element(selector: ".hero-title", scrollThrough: true)
3. get_element_animations(selector: ".hero-title")

Extract and Replicate

1. open_page(url: "https://example.com")
2. scroll_and_record()
3. extract_animation_code()
4. export_replicable_code(framework: "react")

Architecture

src/
├── index.ts              # MCP server entry point
├── cli.ts                # CLI entry point
├── types.ts              # TypeScript interfaces
├── schemas.ts            # Zod validation schemas
├── extractors/
│   ├── gsap-extractor.ts      # AST-based GSAP extraction
│   ├── lenis-extractor.ts     # Lenis extraction
│   └── css-extractor.ts       # CSS animations (CSSOM)
├── browser/
│   ├── browser-manager.ts     # Playwright lifecycle
│   └── page-controller.ts     # Scroll, interact, capture
├── analyzers/
│   ├── runtime-analyzer.ts    # GSAP/ScrollTrigger API queries
│   └── script-analyzer.ts     # Orchestrates extractors
└── reporters/
    ├── markdown-reporter.ts
    ├── html-reporter.ts
    └── code-exporter.ts

Development

# Build
npm run build

# Watch mode
npm run dev

# Run tests
npm test

# Test coverage
npm run test:coverage

How It Differs from GSAP Generation MCPs

Feature Generation MCPs This Analyzer MCP
Purpose Create new animations Analyze existing sites
Input Natural language intent URLs/existing pages
Output GSAP code to use Analysis reports, extracted code
Browser Not needed Playwright for real rendering
Use case Building new features Learning, debugging, reverse engineering

Technical Details

  • Built with TypeScript and MCP SDK
  • Uses Playwright for real browser automation
  • AST parsing with Acorn (not regex)
  • Zod for input validation
  • Supports headless Chromium
  • Records video automatically
  • Injects tracers to capture runtime GSAP calls

Known Limitations

AST Extraction on Minified Sites

The extract_animation_code tool uses AST parsing which skips minified JavaScript by default. This is intentional because:

  • Minified code is slow to parse and often fails
  • Variable names are mangled, making extraction less useful

Workaround: Use get_scroll_triggers for runtime detection - it queries the GSAP/ScrollTrigger APIs directly and works regardless of code minification.

watch_element Style Changes

The watch_element tool may report fewer style changes than expected because browser scroll event listeners don't always fire during programmatic scrolls (window.scrollTo()). For comprehensive element tracking, combine with scroll_and_record which captures animation state at each frame.

Tested Sites

Site ScrollTriggers Found Notes
gsap.com 35 Runtime detection works; AST returns 0 (minified)
Custom unminified sites Full extraction AST + runtime both work

License

MIT

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
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

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
Qdrant Server

Qdrant Server

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

Official
Featured