pixabay-mcp

pixabay-mcp

0
research_and_data

Pixabay Image Search MCP is a tool that provides an image search service using Pixabay API within a Model Context Protocol (MCP) server environment. It allows AI agents to perform image searches efficiently.

Pixabay Image Search MCP

A service that allows image search from Pixabay using MCP. Users need to obtain their own API key.

Usage

  • PIP Method

    • Install using: pip install pixabay-mcp
    • Run with: /path/to/pixabay-mcp --api-key=APIKEY

  • UV Method

    • Run with: uvx pixabay-mcp --api-key=APIKEY

Start Service

  • Using .env File: Create a .env file in the root directory with your API key and start the server.
  • Using Command Line: Run server.py with the --api-key argument.

The MCP server will be available for AI agents to use for image searching.

Logs

Logs are saved in the application directory with filenames formatted as app_YYYYMMDD.log.

Development

  • The .env file is excluded from git to protect API keys.
  • Ensure to install development dependencies if contributing to the code.

License

MIT License.