MCP Servers

nano-banana

A local stdio MCP server for generating images using Google's Gemini image models, saving to disk as JPEG.

Category

README

Nano Banana MCP Server

A local stdio MCP server for Gemini-powered image generation.

Features

Simple MCP to generate images with Google's Gemini image models
Save generated output to local disk as JPEG
Return both user-facing content and structured tool output for clients
Run locally via stdio (no HTTP transport in this project)

Prerequisites

Node.js 20+
Gemini API key from Google AI Studio

Install

git clone https://github.com/priorwave/nano_banana_mcp_server/
cd nano-banana-mcp
npm install
npm run build

Configuration

Set an API key in your shell profile:

export GEMINI_API_KEY="your-key-here"
# GOOGLE_API_KEY is also supported

Optional model override:

export GEMINI_IMAGE_MODEL="gemini-2.5-flash-image"

Configure your MCP client to run this server locally via stdio:

{
  "mcpServers": {
    "nano-banana": {
      "command": "node",
      "args": ["/absolute/path/to/nano_banana_mcp_server/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}"
      }
    }
  }
}

Tool: `generate_image`

Parameter	Required	Description
`prompt`	Yes	Prompt text for generation (1-4000 chars)
`save_path`	No	Optional output path (absolute or relative). If directory, a timestamped `.jpg` file is created. If file path, extension must be `.jpg` or `.jpeg`. If omitted or invalid/unwritable, the server falls back to `IMAGE_OUTPUT_DIR` and then a safe local temp directory.

The tool returns:

Text status content
Image content
Structured output with file_path, mime_type, model, and optional text

Development

Build: npm run build
Start: npm start
Test: npm test

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