Scrapling vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
Scrapling by D4Vinci | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 50,346 | ★ 85,748 |
| 30d uses | — | — |
| Score | 62 | 77 |
| Official | — | ✓ |
| Categories | Web ScrapingAI / LLM ToolsDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
Scrapling · Summary
Web scraping framework with adaptive parsing and anti-bot capabilities, now integrated as an MCP server.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
Scrapling · Use cases
- Extracting structured data from dynamic websites with changing layouts
- Large-scale web crawling with automatic proxy rotation and anti-bot bypass
- Integrating web scraping capabilities into AI agent workflows
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
Scrapling · Install
Installing Scrapling MCP Server
- Install the Scrapling package via pip:
``bash pip install scrapling ``
- Configure your MCP client to use the Scrapling server. For Claude Desktop, add to
claude_desktop_config.json:
``json { "mcpServers": { "scrapling": { "command": "python", "args": ["-m", "scrapling", "mcp"] } } } ``
filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.