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qualityA server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web
Last updated -
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MIT License
Why this server?
Provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web.
Why this server?
A comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.
Why this server?
Provides functionality to fetch and transform web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.
Why this server?
Bridge the gap between your web crawl and AI language models. With mcp-server-webcrawl, your AI client filters and analyzes web content under your direction or autonomously, extracting insights from your web content. Supports WARC, wget, InterroBot, Katana, and SiteOne crawlers.
Why this server?
Provides a robust interface for searching TikTok videos by hashtags and retrieving trending content, with anti-detection measures and comprehensive metadata extraction.
Why this server?
Enables AI agents to control web browsers via a standardized interface for operations like launching, interacting with, and closing browsers.