Nano Banana Mcp

Created By

ConechoAI3 months ago

A Model Context Protocol (MCP) server that provides AI image generation and editing capabilities using Google's Gemini 2.5 Flash Image API. Generate stunning images, edit existing ones, and iterate on your creations with simple text prompts.

# AI image generation

# Google's Gemini 2.5 Flash Image API

Overview Content Tools Comments

Overview

What is Nano Banana MCP?

Nano Banana MCP is a Model Context Protocol (MCP) server that enables AI-driven image generation and editing using Google's Gemini 2.5 Flash Image API. Users can create stunning images, modify existing ones, and iterate on their designs through simple text prompts.

How to use Nano Banana MCP?

To use Nano Banana MCP, you need to obtain a Gemini API key from Google AI Studio, configure the server with your API key, and then use commands to generate or edit images via supported MCP clients like Claude Code or Cursor.

Key features of Nano Banana MCP?

🎨 Generate new images from text descriptions.
✏️ Edit existing images using text prompts.
🔄 Continue editing the last generated or edited image.
🖼️ Use multiple reference images for style transfer.
🌍 Cross-platform compatibility for Windows, macOS, and Linux.
🔧 Easy setup with simple configuration.
📁 Automatic file management for generated images.

Use cases of Nano Banana MCP?

Creating unique artwork from textual descriptions.
Modifying images for design projects.
Generating assets for applications and prototypes.
Iterative design processes for visual content.

FAQ from Nano Banana MCP?

Can I use Nano Banana MCP without an API key?

No, a valid Gemini API key is required to use the server.

Is Nano Banana MCP free to use?

The server itself is free, but usage of the Gemini API may incur costs based on Google's pricing.

What platforms does Nano Banana MCP support?

It supports Windows, macOS, and Linux.

Server Config

{
  "mcpServers": {
    "nano-banana": {
      "command": "npx",
      "args": [
        "nano-banana-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "your-gemini-api-key-here"
      }
    }
  }
}

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