Overview
What is MCP Pixabay Server?
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.
How to use MCP Pixabay Server?
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.
Key features of MCP Pixabay Server
- Fully compliant MCP protocol server implementation.
- Provides
search_imagesandsearch_videostools. - Supports rich search parameters: query, type, orientation, category, color, safe search, pagination.
- Returns complete resource metadata (URLs, resolution, tags, etc.).
- API key configured via environment variable.
Use cases of MCP Pixabay Server
- AI agents searching for stock images based on user prompts.
- Video content discovery for automated media curation.
- Enabling language models to retrieve Pixabay media within chat or plugin environments.
FAQ from MCP Pixabay Server
What dependencies are required?
Node.js and npm. The server is published as an npm package and relies on a Pixabay API key.
How do I obtain a Pixabay API key?
Register at the Pixabay API documentation page to get an API key.
Where does the data live?
The server acts as a bridge; it queries Pixabay’s remote API and returns results. No media is stored locally.
What transport does the server use?
It communicates via stdio, the standard MCP transport for command-line integration.
Are there any known limits on pagination?
Yes. The per_page parameter accepts values between 3 and 200 for both images and videos.
