Scrapling Fetch▌

by cyberchitta
Scrapling Fetch enables secure web scraping with three protection levels to scrape any website and access content blocke
Enables AI to access text content from websites protected by bot detection mechanisms through three protection levels (basic, stealth, max-stealth), retrieving complete pages or specific content patterns without manual copying.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Accessing documentation on protected sites
- / Retrieving reference materials from bot-protected websites
- / Low-volume content retrieval for research
- / AI assistants needing access to blocked web content
capabilities
- / Fetch complete web pages bypassing bot detection
- / Extract specific content patterns with regex
- / Handle pagination automatically
- / Use three protection levels (basic, stealth, max-stealth)
- / Retrieve text and HTML content only
what it does
Fetches web page content that's normally blocked by bot detection systems, allowing AI to access protected websites that would otherwise be inaccessible.
about
Scrapling Fetch is a community-built MCP server published by cyberchitta that provides AI assistants with tools and capabilities via the Model Context Protocol. Scrapling Fetch enables secure web scraping with three protection levels to scrape any website and access content blocke It is categorized under search web. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Scrapling Fetch in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
Scrapling Fetch is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
scrapling-fetch-mcp
An MCP server that helps AI assistants access text content from websites that implement bot detection, bridging the gap between what you can see in your browser and what the AI can access.
Intended Use
This tool is optimized for low-volume retrieval of documentation and reference materials (text/HTML only) from websites that implement bot detection. It has not been designed or tested for general-purpose site scraping or data harvesting.
Note: This project was developed in collaboration with Claude Sonnets 3.7 and 4.5, using LLM Context.
Installation
Requirements
- Python 3.10+
- uv package manager
Install
# Install scrapling-fetch-mcp
uv tool install scrapling-fetch-mcp
# Install browser binaries (REQUIRED - large downloads)
uvx --from scrapling-fetch-mcp scrapling install
Important: The browser installation downloads hundreds of MB of data and must complete before first use. If the MCP server times out on first use, the browsers may still be installing in the background. Wait a few minutes and try again.
Setup with Claude Desktop
Add this configuration to your Claude Desktop MCP settings:
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"scrapling-fetch": {
"command": "uvx",
"args": ["scrapling-fetch-mcp"]
}
}
}
After updating the config, restart Claude Desktop.
What It Does
This MCP server provides two tools that Claude can use automatically when you ask it to fetch web content:
- Page fetching: Retrieves complete web pages with support for pagination
- Pattern extraction: Finds and extracts specific content using regex patterns
The AI decides which tool to use based on your request. You just ask naturally:
"Can you fetch the docs at https://example.com/api"
"Find all mentions of 'authentication' on that page"
"Get me the installation instructions from their homepage"
Protection Modes
The tools support three levels of bot detection bypass:
- basic: Fast (1-2s), works for most sites
- stealth: Moderate (3-8s), handles more protection
- max-stealth: Maximum (10+s), for heavily protected sites
Claude automatically starts with basic mode and escalates if needed.
Tips for Best Results
- Just ask naturally - Claude handles the technical details
- For large pages, Claude can page through content automatically
- For specific searches, mention what you're looking for and Claude will use pattern matching
- The metadata returned helps Claude decide whether to page or search
Limitations
- Designed for text content only (documentation, articles, references)
- Not for high-volume scraping or data harvesting
- May not work with sites requiring authentication
- Performance varies by site complexity and protection level
Built with Scrapling for web scraping with bot detection bypass.
License
Apache 2.0
FAQ
- What is the Scrapling Fetch MCP server?
- Scrapling Fetch is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Scrapling Fetch?
- This profile displays 54 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★54 reviews- ★★★★★Dhruvi Jain· Dec 20, 2024
Scrapling Fetch is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Kofi Sethi· Dec 20, 2024
We evaluated Scrapling Fetch against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Aarav Farah· Dec 8, 2024
We wired Scrapling Fetch into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Luis Thomas· Dec 4, 2024
I recommend Scrapling Fetch for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Kofi Singh· Nov 27, 2024
We evaluated Scrapling Fetch against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Luis Li· Nov 23, 2024
According to our notes, Scrapling Fetch benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Oshnikdeep· Nov 11, 2024
Scrapling Fetch is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Evelyn Jackson· Nov 11, 2024
We wired Scrapling Fetch into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Kofi Martinez· Oct 18, 2024
Scrapling Fetch is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Nia Sharma· Oct 14, 2024
Scrapling Fetch has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
showing 1-10 of 54