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    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.
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    MIT
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    MCP server for querying the Bibliothèque nationale de France catalogue. Enables searching authors and works, retrieving author details, listing editions, and finding digitised documents via SPARQL, without an API key.
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    MIT
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    Enables searching and accessing OCR text from millions of digitized documents in Gallica, the digital library of the Bibliothèque nationale de France, through MCP tools for text search, snippet retrieval, and full-text download.
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    Apache 2.0
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    Enables full-text search of the Media History Digital Library's digitized entertainment trade press (e.g., Variety, Billboard), returning leaf-level results with keyword-in-context excerpts, no API key required.
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    Apache 2.0
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    Provides access to the impresso corpus of digitized historical newspapers, enabling article search with keyword-in-context snippets, filtering, facets, and source metadata retrieval.
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    Apache 2.0
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    Federated, license-verified search across open-access museum collections — currently The Met, Cleveland, AIC, Wikimedia Commons, and Europeana, with more being added. Strict-default-deny rights gate accepts only CC0 / Public Domain Mark, returning reuse-safe artwork with citations in three styles.
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    MIT
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    Render music notation from a JSON score to inline SVG (Verovio + Bravura), round-trippable MusicXML, and base64 MIDI in one call. Includes pre-flight validation with concrete fix suggestions and a curated music-theory knowledge search. Free, open, no auth, sponsored by Gradus School of Music Composition.
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    MIT
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    MCP server to fetch xkcd comics (latest, random, by number, search) and display them with rich in-chat previews via the official JSON API and explainxkcd semantic search.
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    MIT
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    Provides access to the National Library of Norway's Digital Humanities Lab, enabling text and image search, NGram analysis, word lookup, concordance finding, and corpus statistics from Norwegian digital collections.
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    MIT
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    An MCP server that enables searching and fetching openly-licensed images from Openverse with features like filtering by license type, getting image details, and finding essay-specific illustrations.
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    MIT
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    Enables users to search for high-quality photos on Unsplash with support for advanced filtering by orientation and content safety. It provides formatted photo metadata and images in either base64-encoded format or as JSON with URLs via stdio transport.
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    MIT
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    Integrates I Ching divination with AI responses, allowing users to receive guidance through traditional Chinese philosophy using the bibliomantic approach described in Philip K. Dick's work.
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    MIT
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    Provides AI assistants with access to search, explore, and analyze over 3 million collection objects from the Smithsonian Institution's museums. Enables finding objects currently on exhibit, retrieving detailed metadata, high-resolution images, and 3D models from America's national museums.
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    MIT
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    MCP server for Scotland's historic environment, providing tools to search, filter, count, and locate heritage sites, listed buildings, scheduled monuments, and properties in care using Historic Environment Scotland's open ArcGIS API. Supports natural language queries for castles, monuments, archaeological sites, and more, returning locations, details, and trove.scot links.
    BSD Zero Clause
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    Search and license 217,000+ authentic vintage 8mm home movie clips from the 1930s-1980s. 6 tools: text search, clip details, visual similarity, rough-cut timeline builder, rights verification, and instant licensing via x402 USDC payments on Solana and Base. All footage is real archival film restored in 4K, no AI-generated content.
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    MIT
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    Translates wine tasting vocabulary (varietal, terroir, balance, aging) into visual parameters for AI image generation, enabling sommeliers to describe wines in their native sensory language and get corresponding visual attributes for creating wine-inspired imagery.
    MIT