Image Generation MCP Server

Example Use Cases

• 1

  Programmatically generate images from natural-language prompts using Google's Gemini model and store them locally.

• 2

  Integrate image creation into automation pipelines (for content generation, batch asset creation, or testing) via a lightweight MCP server.

• 3

  A simple, local wrapper around the Gemini image API to manage API keys and output paths without embedding API calls in the agent code.

Description

This project provides a simple MCP server wrapper to call Google's Gemini generative image API and store generated images to a configured local path. It requires a Gemini API key and uses environment variables to configure the key and output directory. The server is launched via the MCP tooling (uv/mcp) and is useful for integrating image generation into agents or automation pipelines without embedding API calls directly in the agent logic. Setup is straightforward and relies on the google-generativeai library and Pillow for image handling.