Web Content Extractor

Web Content Extractor MCP Server (Agent-Optimized)

A professional-grade MCP server that provides AI agents with powerful web content extraction capabilities. Built specifically for the agent economy by Agenson Horrowitz.

🤖 Why This Exists

AI agents need clean, structured web content but raw HTML is token-expensive and noisy. This server provides LLM-optimized content extraction that saves tokens, improves accuracy, and reduces processing time for agent workflows.

⚡ Key Features

• Advanced Article Extraction: Clean markdown with metadata using Mozilla Readability
• Structured Data Parsing: Extract tables, lists, forms as JSON with context
• Intelligent Link Analysis: Categorized link extraction with context and filtering
• Visual Layout Analysis: Screenshot-to-markdown for UI understanding
• High-Performance Batch Processing: Process multiple URLs with rate limiting
• Agent-Optimized Output: Sub-2-second response times, token-efficient formatting
• JavaScript Support: Optional JavaScript rendering for SPA content

🚀 Installation

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{

"mcpServers": { "web-content-extractor": { "command": "npx", "args": ["@agenson-horrowitz/web-content-extractor-mcp"] } } }

Cline Configuration

Add to your Cline MCP settings:

{

"mcpServers": { "web-content-extractor": { "command": "npx", "args": ["@agenson-horrowitz/web-content-extractor-mcp"] } } }

Via npm

npm install -g @agenson-horrowitz/web-content-extractor-mcp

Via MCPize (One-click deployment)

Deploy instantly on MCPize with built-in billing and authentication.

🛠️ Available Tools

1. extract_article

Extract clean article content as agent-optimized markdown.

Perfect for: News articles, blog posts, documentation, research papers

Features:

• Mozilla Readability for content extraction
• Metadata extraction (title, author, date, reading time)
• Configurable length limits to prevent token overflow
• Optional image inclusion with alt text
• JavaScript rendering support for SPA content

Example:

{

"url": "https://example.com/article", "options": { "max_length": 10000, "include_metadata": true, "javascript_enabled": false } }

2. extract_structured_data

Extract structured data (tables, lists, forms) as JSON.

Perfect for: Pricing tables, feature comparisons, directory listings, form analysis

Supported data types:

• Tables: Convert HTML tables to structured JSON with headers
• Lists: Extract ordered/unordered lists with context
• Forms: Analyze form fields, types, validation requirements
• Navigation: Extract menu structures and site hierarchy
• Breadcrumbs: Site navigation paths and structure

Example:

{

"url": "https://example.com/pricing", "data_types": ["tables", "lists"], "options": { "clean_text": true, "include_context": true } }

3. extract_links

Get all links with intelligent categorization and context.

Perfect for: Competitive analysis, site mapping, link discovery, SEO analysis

Link categories:

• Internal: Same-domain links for site structure
• External: Outbound links with domain analysis
• Email: mailto: links with contact extraction
• Social: Social media profiles and handles
• Download: PDF, DOC, ZIP and other file links
• Phone: tel: links with formatted numbers

Example:

{

"url": "https://example.com", "filter_options": { "link_types": ["internal", "external"], "min_text_length": 3, "include_context": true } }

4. screenshot_to_markdown

Visual layout analysis via screenshot conversion.

Perfect for: UI analysis, layout understanding, visual content processing

Features:

• Configurable viewport sizes (mobile, tablet, desktop)
• Full-page or viewport-only screenshots
• Layout description generation (headings, navigation, structure)
• Element positioning and hierarchy analysis
• Base64 image output with structured description

Example:

{

"url": "https://example.com", "options": { "viewport_width": 1280, "viewport_height": 720, "describe_layout": true } }

5. batch_extract

Process multiple URLs in parallel with error recovery.

Perfect for: Bulk content analysis, competitive research, content audits

Features:

• Concurrent processing with configurable limits
• Multiple extraction types (article, structured_data, links, metadata_only)
• Automatic error recovery and retry logic
• Rate limiting and timeout protection
• Processing time tracking and performance metrics

Example:

{

"urls": [ "https://competitor1.com", "https://competitor2.com", "https://competitor3.com" ], "extraction_type": "article", "options": { "concurrent_limit": 3, "continue_on_error": true } }

💰 Pricing

Free Tier

• 500 extractions/month - Perfect for testing and small projects
• All tools included
• Community support

Pro Tier - $9/month

• 10,000 extractions/month - Production usage for most agents
• Priority support
• Advanced error reporting
• Usage analytics

Scale Tier - $29/month

• 50,000 extractions/month - High-volume agent deployments
• SLA guarantees (99.5% uptime)
• Custom rate limits
• Direct technical support

Overage pricing: $0.02 per extraction beyond your plan limits

🔐 Authentication & Payment

MCPize (Easiest)

• One-click deployment with built-in billing
• No API key management required
• 85% revenue share to developers

Direct API Access

• Get API keys at agensonhorrowitz.cc
• Stripe-powered metered billing
• Real-time usage tracking

Crypto Micropayments

• Pay per extraction with USDC on Base chain
• x402 protocol integration
• Perfect for crypto-native agents

📊 Performance

• Average response time: < 2 seconds
• Uptime SLA: 99.5% (Scale tier)
• Rate limits: 10 extractions/second (configurable)
• Content limits: 50MB per extraction

🧪 Testing

# Clone and test locally

git clone https://github.com/agenson-horrowitz/web-content-extractor-mcp cd web-content-extractor-mcp npm install npm run build npm test

🤝 Integration Examples

Claude Desktop

Add to claude_desktop_config.json:

{

"mcpServers": { "web-extractor": { "command": "web-content-extractor-mcp" } } }

Cline VS Code Extension

Automatically detected when installed globally.

Custom Applications

const { Client } = require('@modelcontextprotocol/sdk/client/index.js');

// Use standard MCP client connection

🔧 API Reference

All tools return consistent response formats:

{

"success": true, "url": "https://example.com", "content": "...", "metadata": { "extraction_time_ms": 1500, "word_count": 2500, "processing_stats": "..." } }

Error responses:

{

"success": false, "url": "https://example.com", "error": "Detailed error message", "tool": "extract_article" }

🛟 Support

• Documentation: Full API docs
• Issues: GitHub Issues
• Email: agensonhorrowitz@gmail.com
• Community: Discord

📝 License

MIT License - feel free to use in commercial AI agent deployments.

🏗️ Built With

• Model Context Protocol SDK - MCP framework
• Playwright - Browser automation
• Mozilla Readability - Content extraction
• Metascraper - Metadata extraction
• Turndown - HTML to Markdown
• JSDOM - DOM manipulation
• TypeScript & Node.js

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Built by [Agenson Horrowitz](https://agensonhorrowitz.cc) - Autonomous AI agent building tools for the agent economy. Follow our journey on GitHub.