Model Context Protocol (MCP) server that exposes WebScraping.AI-powered web-scraping tools (HTML/JS rendering, proxy support, structured extraction, etc.) to any MCP-enabled LLM.
https://github.com/webscraping-ai/webscraping-ai-mcp-serverYou're building with AI, but every time you need web data, you're back to writing scraping scripts. Handling proxies, JavaScript rendering, rate limits, anti-bot measures – it's the same tedious setup every project.
The WebScraping.AI MCP server changes this completely. Instead of context-switching to write scraping code, you just ask your AI assistant to grab the data you need. It handles the complexity while you stay focused on your actual work.
No more puppeteer configurations, no more proxy rotation logic, no more debugging why a site won't load. Your AI can now:
Here's what that looks like in practice:
# One command setup
env WEBSCRAPING_AI_API_KEY=your_key npx -y webscraping-ai-mcp
Now your AI can instantly scrape data without you writing a single line of scraping code.
Competitive Research: "Get me the pricing and features from these 10 competitor websites" – your AI handles it all, including the JavaScript-rendered content that breaks basic scrapers.
Content Analysis: "What are the main topics discussed in these 50 blog posts?" – instead of manually visiting each site, your AI processes them in parallel.
Data Enrichment: "Extract company info from these LinkedIn profiles" – with residential proxies and smart rate limiting, your AI bypasses restrictions that would block your scripts.
Market Research: "Find all products in this e-commerce category and their prices" – your AI navigates complex sites and extracts structured data automatically.
Works immediately with Cursor, Claude Desktop, and any MCP-enabled platform. No new tools to learn – just enhanced capabilities for your current AI setup.
Add this to your .cursor/mcp.json:
{
"servers": {
"webscraping-ai": {
"type": "command",
"command": "npx -y webscraping-ai-mcp",
"env": {
"WEBSCRAPING_AI_API_KEY": "your-api-key"
}
}
}
}
Your AI assistant now has professional web scraping capabilities. No configuration, no infrastructure management.
Proxy Management: Residential and datacenter proxies across 11 countries, automatically rotated. No more IP bans.
JavaScript Rendering: Full headless Chrome with custom script execution. Modern SPAs work perfectly.
Anti-Bot Evasion: Device emulation, timing controls, and behavioral patterns that bypass detection.
Reliability: Built-in retries, rate limiting, and error handling. Your scraping jobs actually complete.
Structured Extraction: Ask for specific data fields in natural language instead of writing complex selectors.
webscraping_ai_question – Ask questions about web contentwebscraping_ai_fields – Extract structured data with instructionswebscraping_ai_html – Get full HTML with JS renderingwebscraping_ai_text – Extract clean text contentwebscraping_ai_selected – Target specific elements with CSS selectorswebscraping_ai_selected_multiple – Extract from multiple selectors at oncewebscraping_ai_account – Monitor your usage and limitsEach tool handles the complexity of modern web scraping while exposing simple, AI-friendly interfaces.
Behind the scenes, you get enterprise-grade scraping infrastructure:
All managed automatically, so you focus on extracting value from the data instead of fighting with scraping infrastructure.
Ready to let your AI handle web scraping? Install with npx -y webscraping-ai-mcp and start extracting data through conversation instead of code.