wikipedia-mcp-image-crawler
Allows searching for images on Wikipedia Commons and fetching detailed metadata including license and author information.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@wikipedia-mcp-image-crawler search for images of Aristotle"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Wikipedia MCP Image Crawler
A Model Context Protocol (MCP) server for searching and retrieving images from Wikipedia Commons. This server provides tools to search for images and fetch detailed metadata through the Wikipedia API.
I created this tool because i needed images of Greek philosopher's. I needed to mak sure i had full attribution and licenses. This will search wikipedia only and download images that are in the public domain and free to use.
Features
Tools
wiki_image_search- Search for images on Wikipedia CommonsSearch by query with customizable result limits (1-50)
Returns image URLs, dimensions, MIME types, and sizes
wiki_image_info- Get detailed information about specific imagesFetches comprehensive metadata including license and author
Returns full resolution URLs and description links
Related MCP server: Wikipedia MCP Server
Installation
Prerequisites
Node.js 18 or higher
npm or pnpm package manager
Local Installation
Clone the repository:
git clone https://github.com/dazeb/wikipedia-mcp-image-crawler.git cd wikipedia-mcp-image-crawlerInstall dependencies:
pnpm installBuild the server:
pnpm run build
Integration with Claude
Claude Desktop App
Add the server configuration to your Claude config file:
MacOS:
nano ~/Library/Application\ Support/Claude/claude_desktop_config.jsonLinux:
nano ~/.config/Claude/claude_desktop_config.jsonWindows:
notepad %APPDATA%\Claude\claude_desktop_config.jsonAdd this configuration (adjust the path to where you cloned the repository):
{
"mcpServers": {
"wikipedia-mcp-server": {
"command": "node",
"args": ["/absolute/path/to/wikipedia-mcp-image-crawler/build/index.js"],
"disabled": false,
"autoApprove": []
}
}
}VSCode Extensions
Cline VSCode Extension
For the Cline VSCode extension, add to:
MacOS:
~/Library/Application\ Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.jsonLinux:
~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.jsonWindows:
%APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.jsonFor VS Code Insiders, replace Code with Code - Insiders in the paths above.
Add this configuration to the JSON file:
{
"mcpServers": {
"wikipedia-mcp-server": {
"command": "node",
"args": ["/absolute/path/to/wikipedia-mcp-image-crawler/build/index.js"],
"disabled": false,
"autoApprove": []
}
}
}If the file already contains other MCP servers, add this entry to the existing mcpServers object.
Usage
Once installed, the server provides two main tools:
Image Search
Search for images matching a query:
{
"name": "wiki_image_search",
"arguments": {
"query": "golden gate bridge",
"limit": 5
}
}Image Information
Get detailed metadata for a specific image:
{
"name": "wiki_image_info",
"arguments": {
"title": "File:Golden Gate Bridge.jpg"
}
}Development
Running in Watch Mode
For development with auto-rebuild:
pnpm run watchDebugging
Since MCP servers communicate over stdio, use the MCP Inspector for debugging:
pnpm run inspectorThis will provide a URL to access the debugging interface in your browser.
Available Tools
2 toolswiki_image_infoB
Get detailed information about a specific Wikipedia image
Inputs: title (required).
wiki_image_searchC
Search for images on Wikipedia Commons
Inputs: query (required), limit.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 2 tools
The two tools serve clearly distinct purposes: one searches for images on Commons, the other retrieves details about a specific image. There is no ambiguity or overlap in their functionality.
Both tool names follow the consistent pattern 'wiki_image_<verb>', using snake_case and a clear prefix. This makes the tool set easy to navigate and predict.
With only two tools, the server feels minimal for something called an 'image crawler'. While the tools cover basic search and info retrieval, more operations (e.g., download, list) would better justify the name.
The tool set lacks critical operations for a crawler, such as downloading images or browsing categories. An agent would hit dead ends when trying to actually collect image data.
Maintenance
Related MCP Connectors
Search over 1.85 million captioned images using text, a reference image, or both. Upload a JPEG, PNG, or WebP image as base64, or provide a public HTTPS image URL. Find similar images from a Lightdrift asset ID and retrieve hosted file URLs, source licenses, and attribution. Connect with OAuth or an API key. Searches cost $0.005 ($5 per 1,000); image details are free. Setup: https://docs.lightdrift.ai/guides/images-mcp
Openverse MCP — Creative-Commons-licensed image + audio search.
Search photos and video moments by visual meaning, people, dates, and folders across local libraries, Apple Photos, and OneDrive. Manage collections, groups, favorites, people, and duplicate review. Synced metadata remains searchable while the desktop is offline; local and Apple Photos media access needs the owning device online with remote access enabled. OneDrive media can be accessed directly from the cloud. OAuth or Bearer API keys. Paid Cloud Access required; hosted visual search uses prepaid credits. Text-in-image search is semantic matching, not guaranteed exact OCR. Setup: https://organizewith.ai/en/guides/connect-ai-assistants
Search and read Wikipedia articles and sections, list cited references, nearby pages, and languages.
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