MCP Alphabanana

Communauté Recherche et web

Generate image assets with Google Gemini (Nano Banana 2 and Pro): transparent PNG/WebP, exact resizing and cropping, reference images and Search grounding.

Que pouvez-vous faire avec MCP Alphabanana ?

  • Nano Banana 2.1 default (gemini-nano-banana-2.1, 1K/2K/4K output)
  • Nano Banana 2 Lite (Lite3.1): ultra-fast, cost-effective 1K-only model for quick drafting and low-latency iteration
  • Advanced multi-image reasoning (up to 14 reference images)
  • Thinking/Grounding support (NanoBanana2.1, Flash3.1, Pro3)
  • Transparent PNG/WebP output (color-key post-processing, despill)
  • Multiple output formats: file, base64, or both
  • Flexible resize modes: crop, stretch, letterbox, contain
  • Multiple model tiers: NanoBanana2.1 (default), Flash3.1 (deprecated), Lite3.1, Flash2.5, Pro3, legacy aliases

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. mcp-alphabanana
  2. Quick Start
  3. Claude Registry
  4. MCP Server
  5. Available Tools
  6. Why alphabanana?
  7. Features
  8. Example Outputs
  9. Configuration
  10. Usage Examples
  11. Transparency & Output Formats
  12. Development
  13. License

mcp-alphabanana

English | 日本語

mcp-alphabanana is a Model Context Protocol (MCP) server for generating image assets with Google Gemini. It is built for MCP-compatible clients and agent workflows that need fast image generation, transparent outputs, reference-image guidance, and flexible delivery formats.

Keywords: MCP server, Model Context Protocol, Gemini AI, image generation, FastMCP

Key capabilities:

  • Nano Banana 2.1 image generation by default, plus Lite, Flash, and Pro tiers
  • Transparent PNG/WebP asset output for web and game pipelines
  • Multi-image style guidance with local reference image files
  • Flexible file, base64, or combined outputs for agent workflows

Quick Start

Run the MCP server with npx:

npx -y @tasopen/mcp-alphabanana

Or add it to your MCP configuration:

{
  "mcp": {
    "servers": {
      "mcp-alphabanana": {
        "command": "npx",
        "args": ["-y", "@tasopen/mcp-alphabanana"],
        "env": {
          "GEMINI_API_KEY": "${env:GEMINI_API_KEY}"
        }
      }
    }
  }
}

Set GEMINI_API_KEY before starting the server.

For Claude Desktop, Download mcp-alphabanana-latest.mcpb, then add it as Extension from Claude Desktop Settings. For Windows, Recommend add 'FileSystem' extension for better local file handling.

Claude Registry

The Claude registry / MCPB package metadata is defined in manifest.json and ships with the static 512x512 icon at images/mcp-alphabanana.png.

Native sharp runtime packages are declared as optional dependencies so .mcpb installs can resolve the correct prebuilt binary on each supported platform without relying on postinstall hooks.

  • Stable MCPB URL: https://github.com/tasopen/mcp-alphabanana/releases/latest/download/mcp-alphabanana-latest.mcpb
  • Versioned MCPB URL pattern: https://github.com/tasopen/mcp-alphabanana/releases/download/vVERSION/mcp-alphabanana-VERSION.mcpb
  • Support: GitHub Issues

MCP Server

This repository provides an MCP server that enables AI agents to generate images using Google Gemini.

It can be used with MCP-compatible clients such as:

  • Claude Desktop
  • VS Code MCP
  • Cursor

Built with FastMCP 3 for a simplified codebase and flexible output options.

Glama MCP Server badge:

Available Tools

generate_image

Generates images using Google Gemini with optional transparency, local reference images, grounding, and reasoning metadata.

For Claude Desktop, prefer outputType=file for medium or large images. base64 and combine responses consume Claude context and can hit the client's size limit. On Windows, use the FileSystem extension to choose a writable absolute outputPath and any local referenceImages paths.

Key parameters:

  • prompt (string): description of the image to generate
  • model: NanoBanana2.1 (default), Flash3.1 (deprecated), Lite3.1, Flash2.5, Pro3, plus aliases flash, pro
  • outputWidth and outputHeight: requested final image size in pixels in normal mode
  • noresize + aspectRatio + output_resolution: return Gemini native size without resizing
  • output_resolution: 1K, 2K, 4K
  • output_format: png, jpg, webp
  • outputType: file, base64, combine
  • outputPath: required when outputType is file or combine
  • transparent: enable transparent PNG/WebP post-processing
  • referenceImages: optional array of local reference image files
  • grounding_type and thinking_mode: advanced Gemini controls (thinking_mode: minimal / medium / high, default medium)
Model Selection
Input Model IDInternal Model IDDescription
NanoBanana2.1gemini-nano-banana-2.1Default. Google Nano Banana 2.1. Best overall quality, prompt adherence, text rendering, and reference-image handling. 1K/2K/4K, up to 14 reference images.
Flash3.1gemini-3.1-flash-imageDeprecated. Ultra-fast, supports Thinking/Grounding. Google shuts it down on October 29, 2026; requests are rejected from that date. Migrate to NanoBanana2.1.
Lite3.1gemini-3.1-flash-lite-imageUltra-fast, cost-effective 1K-only model. No Search Grounding.
Flash2.5gemini-2.5-flash-imageLegacy Flash. High stability. Low cost. 1K only.
Pro3gemini-3-pro-imageHigh-fidelity Pro model.
flashgemini-nano-banana-2.1Alias for the default model (NanoBanana2.1).
progemini-3-pro-imageAlias for Pro3.
Parameters

Full parameter reference for the generate_image tool.

ParameterTypeDefaultDescription
promptstringrequiredDescription of the image to generate
outputFileNamestringrequiredOutput filename (extension auto-added if missing)
outputTypeenumcombinefile, base64, or combine
modelenumNanoBanana2.1Model: NanoBanana2.1, Flash3.1, Lite3.1, Flash2.5, Pro3, flash, pro
output_resolutionstringauto1K, 2K, 4K (0.5K removed in v1.6.0); required when noresize=true
noresizebooleanfalseSkip post-generation resize and return Gemini native dimensions
aspectRatioenumoptionalRequired when noresize=true; e.g. 1:1, 16:9, 4:5
outputWidthintegerrequired unless noresize=trueFinal output width in pixels
outputHeightintegerrequired unless noresize=trueFinal output height in pixels
output_formatenumpngpng, jpg, webp
outputPathstringrequired for file / combineAbsolute output directory path
transparentbooleanfalseTransparent background (PNG/WebP only)
transparentColorstring or nullnullColor key override for transparency extraction
colorToleranceinteger30Transparency color matching tolerance
fringeModeenumautoauto, crisp, hd
resizeModeenumcropcrop, stretch, letterbox, contain
grounding_typeenumnonenone, text, image, both (grounding-capable models: NanoBanana2.1, Flash3.1, Pro3)
thinking_modeenummediumminimal, medium, high (thinking-capable models: NanoBanana2.1 accepts all three; Flash3.1/Pro3 accept minimal/high and fall back to their own default otherwise)
include_thoughtsbooleanfalseReturn model reasoning fields when metadata is enabled
include_metadatabooleanfalseInclude grounding and reasoning metadata in JSON output
referenceImagesarray[]Up to 14 local reference files (NanoBanana2.1/Flash3.1/Pro3/Lite3.1), 3 for Flash2.5
debugbooleanfalseSave intermediate debug artifacts

Why alphabanana?

  • Zero Watermarks: API-native clean images.
  • Thinking/Grounding Support: Higher prompt adherence and search-backed accuracy.
  • Production Ready: Supports transparent WebP and exact aspect ratios for web and game assets.

Features

  • Nano Banana 2.1 default (gemini-nano-banana-2.1, 1K/2K/4K output)
  • Nano Banana 2 Lite (Lite3.1): ultra-fast, cost-effective 1K-only model for quick drafting and low-latency iteration
  • Advanced multi-image reasoning (up to 14 reference images)
  • Thinking/Grounding support (NanoBanana2.1, Flash3.1, Pro3)
  • Transparent PNG/WebP output (color-key post-processing, despill)
  • Multiple output formats: file, base64, or both
  • Flexible resize modes: crop, stretch, letterbox, contain
  • Multiple model tiers: NanoBanana2.1 (default), Flash3.1 (deprecated), Lite3.1, Flash2.5, Pro3, legacy aliases

Example Outputs

These sample outputs were generated with mcp-alphabanana and stored in images/examples.

Pixel art assetReference-image game scenePhotorealistic generation

Configuration

Configure the GEMINI_API_KEY in your MCP configuration (for example, mcp.json).

Examples:

  • Reference an OS environment variable from mcp.json:
{
  "env": {
    "GEMINI_API_KEY": "${env:GEMINI_API_KEY}"
  }
}
  • Provide the key directly in mcp.json:
{
  "env": {
    "GEMINI_API_KEY": "your_api_key_here"
  }
}
VS Code Integration

Add to your VS Code settings (.vscode/settings.json or user settings), configuring the server env in mcp.json or via the VS Code MCP settings.

{
  "mcp": {
    "servers": {
      "mcp-alphabanana": {
        "command": "npx",
        "args": ["-y", "@tasopen/mcp-alphabanana"],
        "env": {
          "GEMINI_API_KEY": "${env:GEMINI_API_KEY}"
        }
      }
    }
  }
}

Optional: Set a custom fallback directory for write failures by adding MCP_FALLBACK_OUTPUT to the env object.

Usage Examples

Basic Generation
{
  "prompt": "A pixel art treasure chest, golden trim, wooden texture",
  "model": "NanoBanana2.1",
  "outputFileName": "chest",
  "outputType": "base64",
  "outputWidth": 64,
  "outputHeight": 64,
  "transparent": true
}
Native Size Without Resize
{
  "prompt": "A clean app icon with a banana mascot, flat graphic design",
  "model": "NanoBanana2.1",
  "outputFileName": "banana-icon-native",
  "outputType": "base64",
  "noresize": true,
  "aspectRatio": "1:1",
  "output_resolution": "1K",
  "output_format": "png"
}

This mode returns the Gemini native pixel size for the requested ratio and resolution. For example, 1:1 + 1K returns 1024x1024 without any resize pass. (0.5K was removed in v1.6.0.)

Advanced (Vertical poster and thinking)
{
  "prompt": "A vertical, photorealistic travel poster advertising Magical Wings Day Tours. A joyful young couple flies high above a breathtaking European countryside at golden hour, holding hands as they soar through a partly cloudy sky. Below them are vineyards, villages, forests, a winding river, and a hilltop medieval castle. The poster uses large, elegant typography with the headline FLY THE COUNTRYSIDE at the top and Magical Wings Day Tours branding near the bottom.",
  "model": "NanoBanana2.1",
  "output_resolution": "1K",
  "outputFileName": "photoreal-travel-poster",
  "outputType": "file",
  "outputPath": "/path/to/output",
  "outputWidth": 848,
  "outputHeight": 1264,
  "output_format": "jpg",
  "thinking_mode": "high",
  "include_metadata": true
}
Grounding Sample (Search-backed)
{
  "prompt": "A modern travel poster featuring today's weather and skyline highlights in Kuala Lumpur",
  "model": "NanoBanana2.1",
  "outputFileName": "kl_travel_poster",
  "outputType": "base64",
  "outputWidth": 1024,
  "outputHeight": 1024,
  "grounding_type": "text",
  "thinking_mode": "high",
  "include_metadata": true,
  "include_thoughts": true
}

This sample enables Google Search grounding and returns grounding and reasoning metadata in JSON.

With Reference Images
{
  "prompt": "Use the reference image to create a game screen showing an opened treasure chest filled with coins and treasure, 8-bit dungeon crawler style, after-battle reward scene, dungeon corridor background, four-party status UI at the bottom",
  "model": "NanoBanana2.1",
  "output_resolution": "1K",
  "outputFileName": "reference-image-dungeon-loot",
  "outputType": "file",
  "outputPath": "/path/to/output",
  "outputWidth": 600,
  "outputHeight": 448,
  "output_format": "webp",
  "transparent": false,
  "referenceImages": [
    {
      "description": "Treasure chest style reference",
      "filePath": "/path/to/references/pixel-art-treasure-chest.png"
    }
  ]
}

Transparency & Output Formats

  • PNG: Full alpha, color-key + despill
  • WebP: Full alpha, better compression
  • JPEG: No transparency (falls back to solid background)

Nano Banana 2.1 does not provide native transparent output. When transparent=true is specified, mcp-alphabanana applies local post-processing to generate an alpha channel.

Development

# Development mode with MCP CLI
npm run dev

# MCP Inspector (Web UI)
npm run inspect

# Build for production
npm run build

License

MIT

Questions fréquentes

Qu'est-ce que MCP Alphabanana ?

Generate image assets with Google Gemini (Nano Banana 2 and Pro): transparent PNG/WebP, exact resizing and cropping, reference images and Search grounding.

Comment installer MCP Alphabanana ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

MCP Alphabanana est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient MCP Alphabanana ?

Il est publié par tasopen. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.