Scrapeless MCP Server lets LLMs and AI tools like ChatGPT and Cursor access real-time web data via Google services, browser automation, and scraping—no blocks, just seamless context.
Overview
What Is a Scrapeless MCP Server?
The Scrapeless MCP Server is an implementation of the Model Context Protocol (MCP) that enables AI assistants—like ChatGPT, Claude, or custom agents—to access and interact with real-time web data. It integrates tools like Google Search, browser automation, and content scraping, allowing models to go beyond static knowledge.
How to Use the Scrapeless MCP Server
- Register at Scrapeless
- Generate an API key from the dashboard
- Configure your MCP client (locally via Stdio or remotely via HTTP)
- Send queries to perform web searches, scrape content, or control a browser
Key Features
- 🔎 Google Search, Flights, Trends, and Scholar integration
- 🧠 AI assistant compatibility (Claude, ChatGPT, Cursor, etc.)
- 🌐 Full browser automation: navigate, click, scroll, extract
- 📄 Scrape dynamic sites (even JS-heavy or Cloudflare-protected)
- 🛡️ Built-in anti-blocking mechanisms
Use Cases
- Real-time search and data summarization for LLMs
- Web scraping of dynamic or protected content
- Research assistance via Google Scholar integration
- Autonomous agents that browse and interact with the web
FAQ
Q: How do I get started?
Sign up at Scrapeless, create an API key, and follow the setup guide to connect your MCP client.
Q: What do I need to run it?
Node.js 22+ and NPM or Yarn. No extra infrastructure required for HTTP mode.
Q: Can I search anything?
Yes—Google search, academic papers, flights, trends, and more. Just customize the query.
Server Config
{
"mcpServers": {
"Scrapeless MCP Server": {
"command": "npx",
"args": [
"-y",
"scrapeless-mcp-server"
],
"env": {
"SCRAPELESS_KEY": "YOUR_SCRAPELESS_KEY"
}
}
}
}