scrapegraph-mcp — security grade SAFE, quality 73/100

Security audit verdict: SAFE · quality 73/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by ScrapeGraphAI · MCP Server · ★ 92

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is scrapegraph-mcp safe to install? View the security audit →

About scrapegraph-mcp

ScrapeGraph 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. Table of Contents Key Features Quick Start Available Tools Setup Instructions Remote Server Usage Local Usage Google ADK Integration Example Use Cases Error Handling Common Issues Development Contributing Documentation Technology Stack License ##

mcp-serverscrapingwebcrawler

Quick Facts

Stars92
Forks27
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score73.2762982637035/100
Last Updated2026-07-17
Created2025-03-05
Platformsbrowser, mcp, python
Est. Tokens~19k

Compatible Skills

These tools work well together with scrapegraph-mcp for enhanced workflows:

  • granola-mcp-server — semantic(0.64)+same_lang+similar_pop+shared_platform (57%)
  • llm-reader — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • 3dsmax-mcp — semantic(0.59)+same_lang+similar_pop+shared_platform (56%)

scrapegraph-mcp alternative? Top 6 similar tools

Looking for a scrapegraph-mcp alternative? If you're comparing scrapegraph-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • agentql-mcp by tinyfish-io · ⭐ 179

    Model Context Protocol server that integrates AgentQL's data extraction capabilities.

  • WebReaper by alex-on-ai · ⭐ 148

    AI-native web scraper. Single binary with a bundled Claude Code skill. MIT-licensed alternative to Firecrawl.

  • WebReaper by pavlovtech · ⭐ 135

    AI-native web scraper. Single binary with a bundled Claude Code skill. MIT-licensed alternative to Firecrawl.

  • oxylabs-mcp by oxylabs · ⭐ 104

    Official Oxylabs MCP integration

  • dendrite-python-sdk by dendrite-systems · ⭐ 311

    Tools to build web AI agents that can authenticate, interact with and extract data from any website.

  • llm-reader by m92vyas · ⭐ 301

    Turn Webpage to LLM friendly input text. Similar to Firecrawl and Jina Reader API. Makes RAG, AI web scraping,

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Popular Python Agent Tools

Frequently Asked Questions

What is scrapegraph-mcp?

scrapegraph-mcp is ScapeGraph MCP Server. It is categorized as a MCP Server with 92 GitHub stars.

What programming language is scrapegraph-mcp written in?

scrapegraph-mcp is primarily written in Python. It covers topics such as mcp-server, scraping, webcrawler.

How do I install or use scrapegraph-mcp?

You can find installation instructions and usage details in the scrapegraph-mcp GitHub repository at github.com/ScrapeGraphAI/scrapegraph-mcp. The project has 92 stars and 27 forks, indicating an active community.

What license does scrapegraph-mcp use?

scrapegraph-mcp is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to scrapegraph-mcp?

The top alternatives to scrapegraph-mcp on Agent Skills Hub include agentql-mcp, WebReaper, WebReaper. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse MCP Server tools