Wikimedia Image Search FAQs

Question 1

What is Wikimedia Image Search?

Accepted Answer

Wikimedia Image Search is an MCP (Model Context Protocol) server that allows AI assistants to search Wikimedia Commons for images, providing detailed metadata and visual thumbnail composites to aid in content selection.

Question 2

How does this tool benefit AI assistants?

Accepted Answer

It gives AI assistants 'eyes' by providing visual previews and comprehensive metadata (license, author, dimensions) for images. This enables AIs to make informed decisions when selecting images for articles, websites, or presentations, rather than guessing based on text alone.

Question 3

Can I filter image search results by license type?

Accepted Answer

Yes, the tool supports filtering images by license. You can choose to retrieve 'all' available licenses or specifically 'no_restrictions' to find images that are public domain or CC0 licensed.

Question 4

What information does the tool provide for each image?

Accepted Answer

For each image, the tool provides comprehensive metadata including the image's license, author, dimensions, description, and file size. It also generates a visual composite of thumbnails for easy comparison.

Question 5

How do I set up Wikimedia Image Search for my AI assistant?

Accepted Answer

This tool is an MCP server. You can install it using `npx` (e.g., `npx -y wikimedia-image-search-mcp`) and configure it within compatible MCP clients like VS Code, Cursor, or Claude Code by adding a simple JSON configuration.

Wikimedia Image Search

소개

주요 기능

사용 사례