What dependencies are required?
Node.js and npm. The server is published as an npm package and relies on a Pixabay API key.
@zhangzhenfei
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"pixabay": {
"command": "npx",
"args": [
"-y",
"@sadais/mcp-pixabay-server"
],
"env": {
"PIXABAY_API_KEY": ""
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
MCP Pixabay Server is an MCP (Model Context Protocol) server that provides AI models with the ability to search and retrieve image and video resources from the Pixabay platform via the Pixabay API. It is intended for developers integrating AI models (e.g., Claude) with Pixabay’s media library.
Install globally with npm install -g @sadais/mcp-pixabay-server or as a project dependency. Set the PIXABAY_API_KEY environment variable, then start the server as a command-line tool (mcp-pixabay-server) or integrate it into an MCP‑compatible environment by adding a configuration block to mcp.json (using npx -y @sadais/mcp-pixabay-server). The server exposes two tools: search_images and search_videos.
search_images and search_videos tools.Node.js and npm. The server is published as an npm package and relies on a Pixabay API key.
Register at the [Pixabay API documentation](https://pixabay.com/api/docs/) page to get an API key.
The server acts as a bridge; it queries Pixabay’s remote API and returns results. No media is stored locally.
It communicates via stdio, the standard MCP transport for command-line integration.
Yes. The `per_page` parameter accepts values between 3 and 200 for both images and videos.
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