"Discover" matching MCP servers:

A read-only reference server for 303 curated generative art algorithms implemented in Python (py5), spanning physics, fractals, cellular automata, shaders, and more. Agents can search by keyword, visual mood (ethereal, chaotic, crystalline…), or multi-layer artistic intent to discover algorithms, read structured summaries, and fetch bounded source snippets.

A MCP Server that lets user ask AI models to discover the collection of the Metropolitan Museum of Art. Adds the discovered art works as Resources on the server.

Enables users to search the SNAC Cooperative's index of archival collections and the people, families, and organizations linked to them, and to construct ArchiveGrid search links. It helps genealogists and historians discover which repositories hold papers and related collections.

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.

Provides AI assistants with access to Civitai's collection of AI models, enabling users to browse, search, and discover AI models through MCP-compatible AI assistants.

Enables AI agents to get book recommendations by topic or mood, discover serendipitous blind-date picks from first sentences, and access free public-domain classics with read-now availability, all with no API keys required.

Enables AI assistants to discover and search authentic Moroccan tourism experiences, cultural activities, and local operators through natural language queries with real-time data from verified sources.

This server provides an interface to a lexicon that maps subjective language and feeling words to specific visual styles. It allows users to analyze sentences to discover matching visual aesthetics and the associated emotional concepts.

Enables agents to discover and rank cultural places from supplied artists or films, clarify preferences through reversible pairwise choices, and rebuild recommendations using a shared API and decision engine.

Enables clients to search and retrieve Artsdata entities in English or French, run SPARQL queries against the Artsdata endpoint, fetch the compiled Artsdata schema, and discover the download URL and version of the latest core-minus-provenance dump via the Databus. It exposes these capabilities as MCP-style tools and resources over HTTP, with configurable endpoints, timeouts, row limits, and CORS.