Last updated
March 16, 2026
MCP profile
Github ScrapeGraphAI Scrapegraph Mcp
AI-powered web scraping and data extraction capabilities through ScrapeGraph API
Search & WebPackagePythonOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
A production-ready Model Context Protocol (MCP) server that provides seamless integration with the ScrapeGraph AI API. This server enables language models to leverage advanced AI-powered web scraping capabilities with enterprise-grade reliability.
Capabilities
8 Powerful Tools: From simple markdown conversion to complex multi-page crawling and agentic workflowsAI-Powered Extraction: Intelligently extract structured data using natural language promptsMulti-Page Crawling: SmartCrawler supports asynchronous crawling with configurable depth and page limitsInfinite Scroll Support: Handle dynamic content loading with configurable scroll countsJavaScript Rendering: Full support for JavaScript-heavy websitesFlexible Output Formats: Get results as markdown, structured JSON, or custom schemasEasy Integration: Works seamlessly with Claude Desktop, Cursor, and any MCP-compatible clientEnterprise-Ready: Robust error handling, timeout management, and production-tested reliabilitySimple Deployment: One-command installation via Smithery or manual setupComprehensive Documentation: Detailed developer docs in .agent/ folder
Tools & Endpoints1
Example Workflow
Create an agent file (e.g., agent.py) with the following configuration:
What Problems It Solves
- The server enables sophisticated queries across various scraping scenarios:
Why Use Github ScrapeGraphAI Scrapegraph Mcp?
- 8 Powerful Tools: From simple markdown conversion to complex multi-page crawling and agentic workflows
- AI-Powered Extraction: Intelligently extract structured data using natural language prompts
- Multi-Page Crawling: SmartCrawler supports asynchronous crawling with configurable depth and page limits
- Infinite Scroll Support: Handle dynamic content loading with configurable scroll counts
- JavaScript Rendering: Full support for JavaScript-heavy websites
- Flexible Output Formats: Get results as markdown, structured JSON, or custom schemas
- Easy Integration: Works seamlessly with Claude Desktop, Cursor, and any MCP-compatible client
- Enterprise-Ready: Robust error handling, timeout management, and production-tested reliability
- Simple Deployment: One-command installation via Smithery or manual setup
- Comprehensive Documentation: Detailed developer docs in .agent/ folder
Specifications
Status
live
Industry
Search & Web
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes
Requirements
- Python 3.13 or higher
- pip or uv package manager
- ScrapeGraph API key
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
Python
pip install google-adk2
Configure
Configuration
json
{
"mcpServers": {
"@ScrapeGraphAI-scrapegraph-mcp": {
"command": "npx",
"args": [
"-y",
"@smithery/cli@latest",
"run",
"@ScrapeGraphAI/scrapegraph-mcp",
"--config",
"\"{\\\"scrapegraphApiKey\\\":\\\"YOUR-SGAI-API-KEY\\\"}\""
]
}
}
}Performance
Usage
Quick Reference
- Name
- Github ScrapeGraphAI Scrapegraph Mcp
- Function
- AI-powered web scraping and data extraction capabilities through ScrapeGraph API
- Available Tools
- The server provides 8 enterprise-ready tools for AI-powered web scraping:
- Transport
- Package
- Language
- Python
- Install
- pip install google-adk
- Source
- External (Registry)
- License
- Open Source
Get started
Ready to integrate this MCP server?
Book a demo to see how this server fits your workflow, or explore the full catalog.