MCP-compliant web scraper with advanced cookie consent handling
MCP-compliant web scraper with advanced cookie consent handling
A production-ready global content extraction platform with ML-powered automation, international site support, and intelligent optimization. Features complete browser automation with 29 tools, 21+ supported sites across 4 regions, 6 content platforms with specialized optimization, and persistent SQLite caching with cross-session learning. Built with TypeScript using the official MCP TypeScript SDK and Playwright.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| scrape_article_content | Extract article content with intelligent cookie consent handling. |
| get_page_screenshot | |
| handle_cookie_consent | |
| manage_tabs | |
| monitor_network | |
| drag_drop | |
| navigate_history |
{
"mcpServers": {
"mcp-web-scraper": {
"command": "node",
"args": [
"/path/to/mcp-web-scraper/dist/server.js"
],
"env": {
"BROWSER_POOL_SIZE": "3",
"DEBUG_LOGGING": "true"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| BROWSER_POOL_SIZE | Declared in the maintainer’s client configuration. | Check documentation |
| DEBUG_LOGGING | Declared in the maintainer’s client configuration. | Check documentation |
Retrieve public web pages as readable Markdown with the reference Fetch MCP server, including pagination for longer responses.
Use Firecrawl MCP to retrieve website content and extract information for research through Firecrawl’s API-backed web tools.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.