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Why this server?
Provides functionality to fetch web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.
Why this server?
A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web
Why this server?
Enables AI agents to control web browsers via a standardized interface for operations like launching, interacting with, and closing browsers.
Why this server?
Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources.
Why this server?
Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.
Why this server?
Provides HTML file preview and analysis capabilities. This server enables capturing full-page screenshots of local HTML files and analyzing their structure.
Why this server?
Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.
Why this server?
A server that enables language models to perform web searches through SearXNG using the Model Context Protocol standard.
Why this server?
Allows LLM tools like Claude Desktop and Cursor AI to access and summarize code files through a Model Context Protocol server, providing structured access to codebase content without manual copying.
Why this server?
Enables browser automation and real-time computer vision tasks through AI-driven commands, offering zero-cost digital navigation and interaction for enhanced web experiences.