The Pixabay MCP server provides a Model Context Protocol (MCP) interface for searching and retrieving images from Pixabay. It allows AI assistants to search for images based on keywords and retrieve formatted results with image URLs and metadata.
Before installing the server, you'll need to obtain a Pixabay API key:
The easiest way to install the Pixabay MCP server is using npx. You'll need to configure your Claude Desktop configuration file:
On MacOS:
Add to ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows:
Add to %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"pixabay-mcp": {
"command": "npx",
"args": ["pixabay-mcp@latest"],
"env": {
"PIXABAY_API_KEY": "your_api_key_here"
}
}
}
}
You can also install the server locally:
git clone https://github.com/zym9863/pixabay-mcp.git
cd pixabay-mcp
npm install
npm run build
{
"mcpServers": {
"pixabay-mcp": {
"command": "/path/to/pixabay-mcp/build/index.js",
"env": {
"PIXABAY_API_KEY": "your_api_key_here"
}
}
}
}
The Pixabay MCP server provides a tool called search_pixabay_images
which allows you to search for images on Pixabay.
all
, photo
, illustration
, vector
)all
, horizontal
, vertical
)To search for beach images:
Use the search_pixabay_images tool with the query parameter set to "beach"
To search for vertical illustrations of mountains:
Use the search_pixabay_images tool with the following parameters:
- query: "mountains"
- image_type: "illustration"
- orientation: "vertical"
- per_page: 15
The search results will include:
If you encounter issues with the server:
For advanced debugging, you can use the MCP Inspector:
npm run inspector
This will provide a URL to access debugging tools in your browser, which can help identify communication issues between Claude and the MCP server.
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "pixabay-mcp" '{"command":"/path/to/pixabay-mcp/build/index.js","env":{"PIXABAY_API_KEY":"your_api_key_here"}}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"pixabay-mcp": {
"command": "/path/to/pixabay-mcp/build/index.js",
"env": {
"PIXABAY_API_KEY": "your_api_key_here"
}
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"pixabay-mcp": {
"command": "/path/to/pixabay-mcp/build/index.js",
"env": {
"PIXABAY_API_KEY": "your_api_key_here"
}
}
}
}
3. Restart Claude Desktop for the changes to take effect