"Information about RAG" matching MCP servers:

Enables searching and retrieving detailed information about items from the Smithsonian Open Access collection, including metadata and images.

Enables users to search and access digital collections from the Swedish National Archives (Riksarkivet) through multiple APIs. Supports searching records by keywords, exploring collections, and downloading historical images and documents.

Search Naver (Korea's #1 search engine) for shopping prices, real-time news, and blogs. Perfect for Korean local information.

Enables AI assistants to access South Korean tourism information via the official Korea Tourism Organization API, providing comprehensive search for attractions, events, food, and accommodations with multilingual support.

A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book information.

Enables AI assistants to query the MusicBrainz music database for artists, albums, recordings, and labels. It provides tools for advanced searches, detailed metadata retrieval, and accessing cover art information.

Provides traditional Chinese lunar calendar information including auspicious date checking, BaZi (八字) Four Pillars analysis, festival data, moon phases, zodiac compatibility, and calendar conversions based on Chinese cultural traditions.

Enables users to search for anime information via the Bangumi API and discover corresponding real-world pilgrimage locations through the Anitabi API. It provides tools for retrieving anime metadata and detailed geographic coordinates for 'seichi junrei' locations.

Receives birth information and returns Western astrology natal charts including planetary positions, houses, ASC/MC text, and a chart PNG image.

Enables users to explore Chinese calligraphy through knowledge Q&A, personalized learning plans, master information, technique guidance, aesthetics discussions, and common question answering.

Enables LLMs to search for keywords and fetch full page content from Wikipedia across various languages. It provides direct access to Wikipedia information through search and fetch tools.

Provides scored and reasoned Kyoto temple data optimized for AI travel agents to deliver personalized recommendations based on natural language queries. It enables agents to retrieve detailed temple information including historical significance, pricing, and crowd levels.

A Model Context Protocol server that enables Claude and other LLMs to interact with the Drama Corpora Project API for analyzing dramatic texts, character networks, and play information across different languages and periods.

An MCP server that enables LLMs to search, summarize, and retrieve detailed information from Wikipedia across multiple languages. It supports automated fact-checking by allowing models to proactively verify factual claims using Wikipedia's database.

MCP server for querying archaeological site information from the EGIPCI service of the Generalitat de Catalunya, enabling AI editors to access Catalan archaeological data.

Enables AI assistants to search and retrieve records from the Digital Guitar Archive database using full-text search and field-specific filters. It provides tools for fetching detailed record information and listing historical source libraries.

Enables users to create rich country profiles by searching for high-quality images through Unsplash API and gathering country information through web search. Generates beautiful markdown profiles with embedded images and photographer credits.

Provides comprehensive access to South Korea's National Library information system, enabling searches across 1,000+ public libraries, real-time book availability checks, borrowing trends, and location-based library discovery.

Allows you to search for artworks, retrieve detailed information about specific artworks, access image tiles for artworks, and explore user-created collections from the Rijksmuseum.

Preference-aware events discovery MCP server that aggregates events, restaurants, and cultural activities across multiple sources and re-ranks them against your personal taste profile to surface things you'd actually want to do.