iflow-mcp_guilhermeaumo-mcp-nano-banana

# MCP Nano Banana [](https://pypi.org/project/mcp-nano-banana/) This project is an MCP (Model Context Protocol) server that generates images using the Google Gemini API. ## Description This server implements the Model Context Protocol to expose a single tool, `generate_image`, to a compatible AI model. The tool accepts a text prompt, uses the Google Gemini API to generate an image, saves the image to the `public/` directory for auditing, and returns the raw image data as a base64-encoded string. ## To use the server with Claude Desktop or other applications You need a Google Gemini API key and ImgBB API key to use this server. Access https://api.imgbb.com/ to generate a IMGBB API Key. This is used to store and host the image online. ```json { "mcpServers": { "mcp-nano-banana": { "command": "uvx", "args": [ "mcp-nano-banana" ], "env": { "GEMINI_API_KEY": "YOUR_API_KEY_HERE", "IMGBB_API_KEY": "YOUR_API_KEY_HERE" } } } } ``` ## Dev Setup ### 1. Dependencies This project uses Python and its dependencies are defined in `pyproject.toml`. You can install them using `pip`: ```bash pip install . # Or uv sync ``` This will install `mcp`, `google-generativeai`, and other required packages. ### 2. API Key You need a Google Gemini API key and ImgBB API key to use this server. Access https://api.imgbb.com/ to generate a IMGBB API Key. This is used to store and host the image online. 1. Create a file named `.env` in the root of the project. 2. Add your API key to the `.env` file in the following format: ``` GEMINI_API_KEY="YOUR_API_KEY_HERE" IMGBB_API_KEY="YOUR_API_KEY_HERE" ``` ## Running the Server This server is designed to be run as a subprocess by an MCP client or using the `mcp` command-line tool. The server listens for requests on `stdio`. ```bash uvx --from git+https://github.com/GuilhermeA…