Wikimedia Image Search

What is Wikimedia Image Search?

Wikimedia Image Search is an MCP (Model Context Protocol) server that enables AI assistants to search for images on Wikimedia Commons. It provides detailed metadata (license, author, description, dimensions) and an optional composite thumbnail image, giving AI models visual context to make informed decisions when selecting images.

How to use Wikimedia Image Search?

No API key is required. The server works with any LLM client that supports the Model Context Protocol, such as Claude Desktop, Cursor, VS Code, and others. Setup involves installing the server and configuring it with your MCP client—no additional authentication is needed.

Key features of Wikimedia Image Search

• Searches Wikimedia Commons via its public API.
• Returns metadata: license, author, description, and dimensions.
• Offers an optional composite image of thumbnail previews.
• No API key or personal credentials required.
• Compatible with any MCP-supporting LLM client.
• Unofficial project, not affiliated with Wikimedia Foundation.

Use cases of Wikimedia Image Search

• Find suitable images for websites, articles, or presentations.
• Select images for educational materials or books.
• Verify the visual content of an image before recommending it.
• Compare multiple images to choose the most relevant one for a specific context.

FAQ from Wikimedia Image Search

Can it be used with any LLM?

Yes, it is designed to work with various LLMs and clients that support the Model Context Protocol, such as Claude Desktop, Cursor, VS Code, and many others.

Do I need an API key?

No, this server interacts with the public Wikimedia Commons API. You do not need to configure a personal API key.

How can I use the images found?

Usage depends on the license. The AI receives license metadata for every result and can be instructed to filter specifically for "no_restrictions" (CC0/Public Domain) content.