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xby-wikimedia-search-images

Web Tools Updated 2026.09.02

Run the following command in DeepSeek Harness:

dsh plugin install xby-skill/xby-wikimedia-search-images

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install xby-skill/xby-wikimedia-search-images in DeepSeek Harness to install; full source code is at https://github.com/xby-skill/xby-wikimedia-search-images

About this plugin

When an AI assistant needs to gather a set of related images for visual comparison or reference, manually querying Wikimedia Commons is tedious and hard to structure. This plugin removes that friction by wrapping Commons image search into a single MCP tool call that returns fully structured metadata with ready-to-use download URLs, eliminating repeated scraping and parsing.

Two tools do the heavy lifting. wikimedia_search_images accepts a keyword and returns each match with its title, description, author, license, and a direct download URL; when a thumbnail composite is requested, the results are stitched into one side-by-side preview image so the model can compare visuals within a single conversation turn. set_xby_apikey handles one-time credential setup by persisting the API key automatically, so it survives restarts without re-configuration.

It is well suited for developers building multimodal agents, automated asset-collection pipelines, or visual Q&A systems that need on-demand access to the millions of openly licensed images on Wikimedia Commons. One keyword turns that vast catalog into model-ready context.

Use Cases

  • Finding and side-by-side comparing Commons images in real-time multimodal conversations
  • Batch-collecting openly licensed images with license info and download URLs in asset pipelines
  • Injecting referenceable image context into visual question-answering systems

Best For

  • Developers building multimodal AI agents
  • Teams running automated workflows that need openly licensed images
  • Research teams exploring vision retrieval-augmented generation