Why this server?
This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption, which is useful for scraping public documents.
Why this server?
A scraper tool that leverages the Oxylabs Web Scraper API to fetch and process web content with flexible options for parsing and rendering pages, enabling efficient content extraction from complex websites, helpful for accessing various public documents.
Why this server?
A Model Context Protocol server that enables LLMs to fetch and process web content in multiple formats (HTML, JSON, Markdown, text) with automatic format detection, which can be used to retrieve and scrape data from different public sources.
Why this server?
A Model Context Protocol server enabling LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API; good for managing documents extracted.
Why this server?
Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
Why this server?
A server that enables AI assistants like Claude to perform web searches using the Exa AI Search API, providing real-time web information in a safe and controlled way, useful for finding publicly available documents.