Why this server?

This server allows AI assistants to perform web searches using the Exa AI Search API, providing real-time web information in a safe and controlled way, which is helpful for matching evidence with chunk parts from web results.

Why this server?

A Model Context Protocol server that enables AI assistants to perform real-time web searches, retrieving up-to-date information from the internet via a Crawler API, useful for finding evidence related to specific text chunks.

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. This can help in matching evidence from websites with the given chunk part.

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. It can be used to match evidence within the document with the specified chunk.

Why this server?

A Model Context Protocol server enabling LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API, which helps in identifying evidence within a document.

Why this server?

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports, which is beneficial for detailed evidence matching.