What dependencies are required?
Node.js and npm. The server is published as an npm package and relies on a Pixabay API key.
@zhangzhenfei
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"pixabay": {
"command": "npx",
"args": [
"-y",
"@sadais/mcp-pixabay-server"
],
"env": {
"PIXABAY_API_KEY": ""
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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