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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Basic information
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Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"pixabay-mcp": {
"command": "uvx",
"args": [
"pixabay-mcp"
],
"env": {
"PIXABAY_API_KEY": "YOUR_PIXABAY_API_KEY"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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.
MCP Toolbox for Databases is an open source MCP server for databases.
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