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  • A
    license
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    quality
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    Enables MCP-capable agents to search, filter, inspect, and download illustration works from Pixiv, with tag-based AND queries, content controls, session deduplication, and local file paths.
    3
    MIT
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    license
    A
    quality
    D
    maintenance
    Provides access to Iconify's 200,000+ open source vector icons from 200+ icon sets, enabling search, browsing, and retrieval of icon data with framework usage examples.
    4
    9 npm
    MIT
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    quality
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    Enables local evaluation and revision comparison of how audience attention, curiosity, surprise, understanding, fatigue and mixed emotions evolve through a creative work, based on time-ordered cue annotations rather than automatic media analysis. Also exposes audience-panel weighting, sensitivity checks, dataset inspection, calibration fitting/application and parameter tuning, all computed from supplied objects without external calls.
    10
    MIT
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    license
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    quality
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    maintenance
    Enables an assistant to search and read AtoM archival catalogue records, including their hierarchy, authority records, images and file text, and to propose improvements such as access points, relationships, descriptions, transcriptions and translations. Every proposal is queued for archivist review and nothing changes until approved.
    AGPL 3.0
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    maintenance
    Enables AI agents to search seven open media collections for reusable images, artworks, HDRIs, textures and 3D models, keeping only items whose own licence record clearly permits reuse. Returns ready-to-use attribution credit lines and can download the selected files with a generated credits file.
    MIT
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    quality
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    maintenance
    Enables MCP-compatible clients to search Commons media, inspect file reuse and licensing details, and retrieve Wikipedia article extracts over local stdio.
    Do What The F*ck You Want To Public
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    quality
    B
    maintenance
    Provides access to the FBI National Stolen Art File (free, no auth) for querying stolen art data through natural language.
    485 npm
    MIT