Scrapfly
공식Scrapfly MCP Server gives AI agents a simple, unified way to scrape live web data with built-in anti-bot handling.
Getting Started with Scrapfly MCP Server
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The Model Context Protocol (MCP) is an open standard that allows AI models to interact with external tools and data sources. The Scrapfly MCP Server transforms your AI from being limited by training data to having real-time access to any website-giving your AI the power to scrape live web data on demand.
What This Unlocks
Instead of your AI answering "I don't have current information," it can now:
Scrape Live Data
Pull current prices, listings, news, or any webpage content in real-time
Bypass Anti-Bot Systems
Automatically handle CAPTCHAs, proxies, JavaScript rendering, and rate limits
Extract Structured Data
Parse complex websites into clean JSON using AI-powered extraction
Capture Screenshots
Take visual snapshots of pages or specific elements for analysis
Why Scrapfly MCP Server?
Built on battle-tested infrastructure used by thousands of developers:
Always Reliable
Your AI never gets blocked
Fast Setup
Running in under 60 seconds
Secure
OAuth2 + enterprise auth
The Power of MCP Connectors
MCP is a universal connector that turns any AI client into a web scraping powerhouse. Instead of building custom integrations for each AI platform, MCP provides a single standard interface.
Works With Your Favorite AI Tools:
- Claude Desktop, Cursor, Cline, Windsurf
- LangChain, LlamaIndex, CrewAI
- OpenAI function calling, custom agents
- n8n, Make, Zapier workflows
One Integration, Infinite Possibilities:
Configure once, use everywhere. The same MCP server works across all platforms-no need to rebuild integrations for each AI tool you adopt.
How to Use Scrapfly MCP
Getting started is simple-choose your AI client and follow the setup guide:
[###### Setup for Your AI Client
15+ integrations: Claude Desktop, Cursor, Cline, Windsurf, LangChain, n8n, and more
](https://scrapfly.io/docs/mcp/integrations) [###### Available Tools
9 tools: scraping, screenshots, Cloud Browser with dynamic WebMCP tool discovery
](https://scrapfly.io/docs/mcp/tools) [###### Authentication Options
API key, OAuth2, or header-based auth-choose what fits your needs
](https://scrapfly.io/docs/mcp/authentication)
Next Steps
See Real-World Examples - Job aggregation, price monitoring, data extraction, and more Client-Specific Setup Guides - Cursor, Cline, LangChain, n8n, and all supported platforms Tools & API Specification - Complete parameter documentation and usage guides Set Up OAuth2 Authentication - Secure, enterprise-grade authentication for production Read the FAQ - Common questions and troubleshooting
Verify Your Setup
After configuration, verify everything works correctly:
-
Check Tool AvailabilityLook for the hammer icon (🔨) in your AI client or check tool listings to confirm Scrapfly tools are loaded.
-
Test a Simple RequestTry asking: "What are the top posts on Hacker News right now?"
Your AI should automatically use Scrapfly tools to fetch and display current results.
-
Check Account UsageAsk: "How many Scrapfly credits do I have left?"
The AI will use
info_accountto show your current usage and quota.
Troubleshooting
If you encounter issues, here are common problems and solutions:
Tools Not Detected
- Verify JSON config - Ensure your configuration has no syntax errors (missing commas, brackets)
- Restart your AI client - Many clients require a full restart to load new MCP servers
- Check
npxavailability - Runnpx --versionin your terminal to verify it's installed - Validate API key - Ensure your Scrapfly API key is correct and has available credits
Authentication Errors
- Invalid API key - Double-check your key at Dashboard → Project Settings
- OAuth2 issues - Ensure you've completed the OAuth flow and tokens are refreshed
- Expired credentials - Re-authenticate if your session has expired
Need More Help?
Check out our detailed troubleshooting resources:
- MCP FAQ - Common questions and detailed answers
- Discord Community - Get help from the community
- Contact Support - Reach out to our team directly
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