Enterprise DNA
M MCP Servers Developer low

scrapeless-ai/scrapeless-mcp-server

by Various

Scrapeless Mcp Server

S

MCP

scrapeless-ai/scrapeless-mcp-server

Added 1 June 2026

Overview

Scrapeless MCP Server is a Model Context Protocol server for web scraping. It allows AI agents to request scraping tasks through a standardized interface. The tool is built with TypeScript and provides a bridge between AI models and web data extraction.

Best for

Best for
Developers building AI agents or assistants that need to fetch and process live web data

Use cases

  • Integrating real-time web scraping into AI assistant workflows
  • Extracting structured data from websites for agent reasoning
  • Providing up-to-date web content to language models via MCP

How to use

Tools exposed

  • google_search
  • google_trends
  • browser_create
  • browser_close
  • browser_goto
  • browser_go_back
  • browser_go_forward
  • browser_click
  • browser_type
  • browser_press_key
  • browser_wait_for
  • browser_wait
  • browser_screenshot
  • browser_get_html
  • browser_get_text
  • browser_scroll
  • browser_scroll_to
  • scrape_html
  • scrape_markdown
  • scrape_screenshot

Tested with

Claude Desktop, Cursor

Example client config

{\n  "mcpServers": {\n    "Scrapeless MCP Server": {\n      "command": "npx",\n      "args": ["-y", "scrapeless-mcp-server"],\n      "env": {\n        "SCRAPELESS_KEY": "YOUR_SCRAPELESS_KEY"\n      }\n    }\n  }\n}

Notes

Scrapeless MCP Server is a Model Context Protocol server for web scraping. It allows AI agents to request scraping tasks through a standardized interface. The tool is built with TypeScript and provides a bridge between AI models and web data extraction.

161 stars on GitHub. Last updated 2025-09-23. Licensed MIT.

Use cases

  • Integrating real-time web scraping into AI assistant workflows
  • Extracting structured data from websites for agent reasoning
  • Providing up-to-date web content to language models via MCP

Pros

  • Leverages the Model Context Protocol for standardized agent-tool communication
  • Open source with 161 GitHub stars and TypeScript codebase
  • Simplifies adding web scraping capability to MCP-compatible AI systems

Cons

  • Dependent on the broader MCP ecosystem for integration
  • Limited documentation based on current repository description
  • May not handle complex JavaScript-heavy sites without additional configuration

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Leverages the Model Context Protocol for standardized agent-tool communication
  • Open source with 161 GitHub stars and TypeScript codebase
  • Simplifies adding web scraping capability to MCP-compatible AI systems

Cons

  • Dependent on the broader MCP ecosystem for integration
  • Limited documentation based on current repository description
  • May not handle complex JavaScript-heavy sites without additional configuration
Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

Running a business, not writing the code? See the MCP servers picked for operators, and get your first one wired up with us.

Operator picks