MCP server enabling AI assistants to search Wikimedia Commons images with metadata and visual previews
MCP server enabling AI assistants to search Wikimedia Commons images with metadata and visual previews
This MCP (Model Context Protocol) server enables AI assistants to search for images on Wikimedia Commons. It provides detailed metadata and optional thumbnail composites to help AI models visually compare results.
This server is designed to give AI assistants "eyes" when searching for visual content. Instead of guessing based on filenames or text descriptions alone, the AI can retrieve a structured list of image metadata and a composite image containing thumbnails of the search results.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| query | string, required): The search terms (e.g., "sunset ocean", "eiffel tower"). |
| limit | number, optional): Maximum number of results to return (default: 9, max: 50). |
| offset | number, optional): Number of results to skip for pagination. |
| license | string, optional): Filter by license. Options: "all" (default) or "no_restrictions" (CC0/Public Domain). |
| include_thumbnails | boolean, optional): Whether to generate and return a composite image of thumbnails (default: true). |
| Text | The metadata list is converted into a YAML-formatted string. This provides the AI with a readable, structured text overview of the results (including file size, |
| Visual | If include_thumbnails is true, the tool downloads the thumbnail for each result. It then uses the sharp library to composite these thumbnails into a single grid |
{
"mcpServers": {
"wikimedia-image-search": {
"command": "npx",
"args": [
"-y",
"wikimedia-image-search-mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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