# Nano Banana MCP Server (CLIProxyAPI Edition)

> Use this tool when you need to generate high-quality images using AI-powered models, and want intelligent model selection and aspect ratio control. It solves problems related to image creation, such as automating artwork or graphic design tasks, by providing access to Google's Gemini models through a convenient interface. The tool accepts input parameters like model selection and aspect ratio, and outputs generated images, making it ideal for use cases like digital art, design, and content creation.

Canonical page: https://skillsregistry.net/skills/ion-aluminium-nanobanana-mcp-cliproxyapi  
JSON: https://api.skillsregistry.net/v1/skills/ion-aluminium-nanobanana-mcp-cliproxyapi

## Description

Provides AI-powered image generation through Google's Gemini models (Flash and Pro) with intelligent model selection, aspect ratio control, and support for both direct Gemini API and CLIProxyAPI proxy routing.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l3om8decve)
- **Repository:** <https://github.com/ion-aluminium/nanobanana-mcp-cliproxyapi>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ion-aluminium-nanobanana-mcp-cliproxyapi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ion-aluminium-nanobanana-mcp-cliproxyapi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ion-aluminium-nanobanana-mcp-cliproxyapi/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt