Extract content from specific URLs, retrieving full text, metadata, and structured information. Designed for detailed content extraction from known web pages.
Search the web for current information and news using AI-powered results, with customizable filters for content type, time range, and domains to gather relevant web content.
Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.
An MCP server that exposes the llms.txt file and its referenced local or external resources from a project root to provide context for AI models. It automatically parses documentation links and URLs to make them accessible as additional MCP resources.