# Banana Image (Gemini)

> Use this tool when you need to generate high-quality images using AI, with features like intelligent routing for speed and quality, and comprehensive tools for professional content creation. It solves problems like producing production-grade images, rapid prototyping, and factual accuracy, with inputs including prompts and configurable reasoning levels, and outputs up to 4K resolution images. Ideal for use cases like professional photography and design workflows, where speed, quality, and accuracy are crucial.

Canonical page: https://skillsregistry.net/skills/zengwenliang416-banana-image  
JSON: https://api.skillsregistry.net/v1/skills/zengwenliang416-banana-image

## Description

Production-ready server for AI-powered image generation using Google's Gemini models, featuring intelligent routing between Gemini 2.5 Flash Image for speed and Gemini 3 Pro Image for quality. Built by Wenliang Zeng with FastMCP, it supports up to 4K resolution output, Google Search grounding for factual accuracy, configurable reasoning levels, and automatic model selection based on prompt analysis. The server provides comprehensive image generation tools, file management through Gemini Files API, prompt templates for photography and design workflows, and progress tracking for long-running operations, making it ideal for professional content creation, rapid prototyping, and production-grade image workflows.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zengwenliang416-banana-image)
- **Repository:** <https://github.com/zengwenliang416/banana-image-mcp>

## 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": "zengwenliang416-banana-image"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zengwenliang416-banana-image` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zengwenliang416-banana-image/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