How do I get a Pixabay API key?
Visit the Pixabay API documentation at https://pixabay.com/api/docs/ to apply for your own key.
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基本信息
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使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"pixabay-mcp": {
"command": "uvx",
"args": [
"pixabay-mcp"
],
"env": {
"PIXABAY_API_KEY": "YOUR_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。
Pixabay Mcp is a Model Context Protocol (MCP) server that allows AI agents to search for images from the Pixabay platform. It requires a Pixabay API key for authentication and is intended for developers integrating image search into AI-driven applications.
Install using pip install pixabay-mcp or run via uvx pixabay-mcp. Start the server by providing your API key either as a command-line argument (--api-key=APIKEY) or by placing it in a .env file as PIXABAY_API_KEY. The server then becomes available for AI agents to perform image searches.
.env file.app_YYYYMMDD.log.Visit the Pixabay API documentation at https://pixabay.com/api/docs/ to apply for your own key.
Install via `pip install pixabay-mcp` or use `uvx pixabay-mcp --api-key=APIKEY`. You can also run `python server.py --api-key=APIKEY` or set the key in a `.env` file.
Logs are saved in the application directory with the filename format `app_YYYYMMDD.log`.
Yes. Create a `.env` file in the root directory with `PIXABAY_API_KEY=your_key` and run `python server.py`. The `.env` file is excluded from git for security.
It is released under the MIT license.

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