"Wikimedia Commons" matching MCP tools:

• search_imagesA

  dsh-bing-searchA

  Find images by text query, with ranked results scored 0-100. Tries Bing Images first, then Wikimedia Commons if scores are low.

  MIT

• search_wikimedia_imagesA

  video-studio-mcpA

  Find freely-licensed Wikimedia Commons images for any topic using English keywords. Returns image details including license, author, and download URL for use in documentary videos.

  MIT

• wikimedia_search_imagesA

  wikimedia-image-search-mcpA

  Find images on Wikimedia Commons using keyword search, returning metadata, download URLs, and a composite thumbnail grid to compare and select relevant visuals.

  MIT

• search_imagesA

  image-lab-mcpB

  Searches Openverse and Wikimedia Commons for images, returning insertUrl and attribution for direct use.

  MIT

• wikimedia_search_imagesC

  Wikimedia-Search-ImagesB

  Search Wikimedia Commons for images with metadata, download URLs, and optional thumbnails to find and fetch relevant visual content for your projects.

  Apache 2.0

• wiki_image_searchC

  wikipedia-mcp-image-crawlerB

  Search for images on Wikimedia Commons by query and retrieve results with detailed metadata such as licenses and authors.

  MIT

• upload_file_from_urlA

  @walletap/mcp-serverA

  Fetch a public image URL, validate it, and store it for use in Wallet pass templates, returning a file ID for image fields.

  MIT

  Destructive

• lithtrix_commons_readA

  lithtrix-mcpA

  List opt-in shared public memory entries from the Lithtrix Commons pool. Use pagination to navigate results.

  MIT

• process_urlA

  talkthrough-mcpA

  Download one public video or audio URL, then run the full local pipeline: transcript, keyframes, OCR, timestamps, optional diarization. Repeat calls reuse the stored job without re-downloading.

  MIT

• plan_imageryA

  motionprompts MCPA

  Plan which image each section needs, the right model for people/objects/landscapes, and transparency/cutout handling. Source real logos. Call after page plan, before writing image prompts.

  -

• syndicateA

  Cachly — AI Cognitive BrainA

  Contribute a verified lesson to a global, privacy-preserving knowledge commons. Your discovery becomes immediately searchable by other AI instances, turning individual knowledge into collective intelligence.

  Apache 2.0

• mediawikiA

  Parkour MCPA

  Fetch Wikipedia articles by title, run full-text searches, and resolve footnotes or citations across MediaWiki sites, eliminating the need for web searches with site filters.

  MIT

• get_schema_summaryA

  Gen3 MCP ServerA

  Get an overview of all nodes and their relationships in a Gen3 data commons. Start here to explore the data model structure.

  MIT

• search_biomedical_imagesA

  pubmed-search-mcpA

  Retrieve biomedical images from Open-i and Europe PMC. Filter by image type, collection, license, or specialty to find clinical photos, X-rays, microscopy, and more with captions and article metadata.

  Apache 2.0

• parliament_get_debate_divisionsA

  UK Legal Research MCP ServerA

  Retrieve divisions (formal votes) from a parliamentary debate using its debate ID. Returns each division's Hansard reference and votes API ID for accessing full voting records.

  MIT

• brain_marketplaceA

  Cachly — AI Cognitive BrainA

  Browse curated brain packs grouped by domain, built from community-confirmed lessons. Install one to bootstrap knowledge in unfamiliar areas like Kubernetes, Auth, or React.

  Apache 2.0

• brain_contribute_signalA

  Cachly — AI Cognitive BrainA

  Share only topic category, outcome, and confidence to contribute a privacy-safe signal to the Brain commons. Enable meta-lessons from multiple independent orgs without exposing sensitive data.

  Apache 2.0

• fedbrain_confirmA

  Cachly — AI Cognitive BrainA

  Confirm a syndicated lesson outcome to increment its knowledge certificate confirm count and update your local CKG confidence. Reaching 10 confirmations marks it as Gold Standard.

  Apache 2.0

• wisepanel_startA

  Wisepanel MCP ServerA

  Start a multi-AI panel deliberation by convening Claude, Gemini, and Perplexity models to debate questions from assigned perspectives, then poll for real-time responses and final synthesis.

  MIT

• culture__mediawikiA

  Katzilla MCPA

  Retrieve Wikipedia article summaries with quality scoring and source verification through the Katzilla MCP server's cultural reference tools.

  -

• culture__wiktionaryA

  Katzilla MCPA

  Look up word definitions, etymology, and usage from Wiktionary's multilingual dictionary with over 7 million entries, returning structured data with quality scores and source citations.

  -