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mcp-alphabanana

mcp-alphabanana

by tasopen

mcp-alphabanana

npm version License: MIT

Englisch | 日本語

mcp-alphabanana ist ein Model Context Protocol (MCP) Server zur Generierung von Bild-Assets mit Google Gemini. Er wurde für MCP-kompatible Clients und Agenten-Workflows entwickelt, die eine schnelle Bildgenerierung, transparente Ausgaben, Referenzbild-Steuerung und flexible Bereitstellungsformate benötigen.

Schlüsselwörter: MCP-Server, Model Context Protocol, Gemini AI, Bildgenerierung, FastMCP

Hauptfunktionen:

  • Ultraschnelle Gemini-Bildgenerierung über Flash- und Pro-Stufen hinweg

  • Transparente PNG/WebP-Asset-Ausgabe für Web- und Spiele-Pipelines

  • Multi-Bild-Stilsteuerung mit lokalen Referenzbilddateien

  • Flexible Datei-, Base64- oder kombinierte Ausgaben für Agenten-Workflows

alphabanana demo

Schnellstart

Starten Sie den MCP-Server mit npx:

npx -y @tasopen/mcp-alphabanana

Oder fügen Sie ihn Ihrer MCP-Konfiguration hinzu:

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

Setzen Sie GEMINI_API_KEY, bevor Sie den Server starten.

Für Claude Desktop: Laden Sie mcp-alphabanana-latest.mcpb herunter und fügen Sie es dann als Erweiterung in den Claude Desktop-Einstellungen hinzu. Für Windows wird empfohlen, die 'FileSystem'-Erweiterung für eine bessere lokale Dateiverwaltung hinzuzufügen.
Download MCPB

Related MCP server: nano-banana-claude

Claude Registry

Die Claude-Registry / MCPB-Paket-Metadaten sind in manifest.json definiert und werden mit dem statischen 512x512-Icon unter images/mcp-alphabanana.png ausgeliefert.

Native sharp-Laufzeitpakete sind als optionale Abhängigkeiten deklariert, sodass .mcpb-Installationen die korrekte vorgefertigte Binärdatei auf jeder unterstützten Plattform auflösen können, ohne auf Postinstall-Hooks angewiesen zu sein.

  • Stabiler MCPB-URL: https://github.com/tasopen/mcp-alphabanana/releases/latest/download/mcp-alphabanana-latest.mcpb

  • Versioniertes MCPB-URL-Muster: https://github.com/tasopen/mcp-alphabanana/releases/download/vVERSION/mcp-alphabanana-VERSION.mcpb

  • Support: GitHub Issues

MCP-Server

Dieses Repository stellt einen MCP-Server bereit, der es KI-Agenten ermöglicht, Bilder mit Google Gemini zu generieren.

Er kann mit MCP-kompatiblen Clients verwendet werden, wie zum Beispiel:

  • Claude Desktop

  • VS Code MCP

  • Cursor

Erstellt mit FastMCP 3 für eine vereinfachte Codebasis und flexible Ausgabeoptionen.

Glama MCP Server Badge:\

Verfügbare Tools

generate_image

Generiert Bilder mit Google Gemini mit optionaler Transparenz, lokalen Referenzbildern, Grounding und Reasoning-Metadaten.

Für Claude Desktop bevorzugen Sie outputType=file für mittlere oder große Bilder. base64- und combine-Antworten verbrauchen Claude-Kontext und können das Größenlimit des Clients erreichen. Verwenden Sie unter Windows die FileSystem-Erweiterung, um einen beschreibbaren absoluten outputPath und beliebige lokale referenceImages-Pfade auszuwählen.

Hauptparameter:

  • prompt (string): Beschreibung des zu generierenden Bildes

  • model: Flash3.1, Flash2.5, Pro3, flash, pro

  • outputWidth und outputHeight: gewünschte endgültige Bildgröße in Pixeln im normalen Modus

  • noresize + aspectRatio + output_resolution: gibt die native Gemini-Größe ohne Größenänderung zurück

  • output_resolution: 0.5K, 1K, 2K, 4K

  • output_format: png, jpg, webp

  • outputType: file, base64, combine

  • outputPath: erforderlich, wenn outputType file oder combine ist

  • transparent: aktiviert transparente PNG/WebP-Nachbearbeitung

  • referenceImages: optionales Array lokaler Referenzbilddateien

  • grounding_type und thinking_mode: erweiterte Gemini 3.1-Steuerungen

Modellauswahl

Eingabe-Modell-ID

Internes Modell-ID

Beschreibung

Flash3.1

gemini-3.1-flash-image-preview

Ultraschnell, unterstützt Thinking/Grounding.

Flash2.5

gemini-2.5-flash-image

Legacy Flash. Hohe Stabilität. Niedrige Kosten.

Pro3

gemini-3.0-pro-image-preview

High-Fidelity Pro-Modell.

flash

gemini-3.1-flash-image-preview

Alias für Abwärtskompatibilität.

pro

gemini-3.0-pro-image-preview

Alias für Abwärtskompatibilität.

Parameter

Vollständige Parameterreferenz für das generate_image-Tool.

Parameter

Typ

Standard

Beschreibung

prompt

string

erforderlich

Beschreibung des zu generierenden Bildes

outputFileName

string

erforderlich

Ausgabedateiname (Erweiterung wird automatisch hinzugefügt, falls fehlend)

outputType

enum

combine

file, base64 oder combine

model

enum

Flash3.1

Modell: Flash3.1, Flash2.5, Pro3, flash, pro

output_resolution

enum

auto

0.5K, 1K, 2K, 4K; erforderlich, wenn noresize=true

noresize

boolean

false

Überspringt die Größenänderung nach der Generierung und gibt native Gemini-Dimensionen zurück

aspectRatio

enum

optional

Erforderlich, wenn noresize=true; z. B. 1:1, 16:9, 4:5

outputWidth

integer

erforderlich außer noresize=true

Endgültige Ausgabebreite in Pixeln

outputHeight

integer

erforderlich außer noresize=true

Endgültige Ausgabehöhe in Pixeln

output_format

enum

png

png, jpg, webp

outputPath

string

erforderlich für file / combine

Absoluter Ausgabeverzeichnispfad

transparent

boolean

false

Transparenter Hintergrund (nur PNG/WebP)

transparentColor

string oder null

null

Farbschlüssel-Überschreibung für Transparenzextraktion

colorTolerance

integer

30

Toleranz für die Übereinstimmung der Transparenzfarbe

fringeMode

enum

auto

auto, crisp, hd

resizeMode

enum

crop

crop, stretch, letterbox, contain

grounding_type

enum

none

none, text, image, both (nur Flash3.1)

thinking_mode

enum

minimal

minimal, high (nur Flash3.1)

include_thoughts

boolean

false

Gibt Modell-Reasoning-Felder zurück, wenn Metadaten aktiviert sind

include_metadata

boolean

false

Beinhaltet Grounding- und Reasoning-Metadaten in der JSON-Ausgabe

referenceImages

array

[]

Bis zu 14 lokale Referenzdateien (Flash3.1/Pro3), 3 für Flash2.5

debug

boolean

false

Speichert zwischenzeitliche Debug-Artefakte

Warum alphabanana?

  • Keine Wasserzeichen: API-native saubere Bilder.

  • Thinking/Grounding-Unterstützung: Höhere Prompt-Einhaltung und suchbasierte Genauigkeit.

  • Produktionsbereit: Unterstützt transparentes WebP und exakte Seitenverhältnisse für Web- und Spiele-Assets.

Funktionen

  • Ultraschnelle Bildgenerierung (Gemini 3.1 Flash, 0.5K/1K/2K/4K)

  • Erweitertes Multi-Bild-Reasoning (bis zu 14 Referenzbilder)

  • Thinking/Grounding-Unterstützung (nur Flash3.1)

  • Transparente PNG/WebP-Ausgabe (Farbschlüssel-Nachbearbeitung, Despill)

  • Mehrere Ausgabeformate: Datei, Base64 oder beides

  • Flexible Größenänderungsmodi: crop, stretch, letterbox, contain

  • Mehrere Modellstufen: Flash3.1, Flash2.5, Pro3, Legacy-Aliase

Beispielausgaben

Diese Beispielausgaben wurden mit mcp-alphabanana generiert und in images/examples gespeichert.

Pixel-Art-Asset

Referenzbild-Spielszene

Fotorealistische Generierung

Pixel art treasure chest

Reference-image dungeon loot scene

Photorealistic travel poster

Konfiguration

Konfigurieren Sie den GEMINI_API_KEY in Ihrer MCP-Konfiguration (zum Beispiel mcp.json).

Beispiele:

  • Referenzieren Sie eine OS-Umgebungsvariable aus mcp.json:

{
  "env": {
    "GEMINI_API_KEY": "${env:GEMINI_API_KEY}"
  }
}
  • Geben Sie den Schlüssel direkt in mcp.json an:

{
  "env": {
    "GEMINI_API_KEY": "your_api_key_here"
  }
}

VS Code Integration

Fügen Sie dies zu Ihren VS Code-Einstellungen (.vscode/settings.json oder Benutzereinstellungen) hinzu und konfigurieren Sie den Server env in mcp.json oder über die VS Code MCP-Einstellungen.

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

Optional: Legen Sie ein benutzerdefiniertes Fallback-Verzeichnis für Schreibfehler fest, indem Sie MCP_FALLBACK_OUTPUT zum env-Objekt hinzufügen.

Nutzungsbeispiele

Grundlegende Generierung

{
  "prompt": "A pixel art treasure chest, golden trim, wooden texture",
  "model": "Flash3.1",
  "outputFileName": "chest",
  "outputType": "base64",
  "outputWidth": 64,
  "outputHeight": 64,
  "transparent": true
}

Native Größe ohne Größenänderung

{
  "prompt": "A clean app icon with a banana mascot, flat graphic design",
  "model": "Flash3.1",
  "outputFileName": "banana-icon-native",
  "outputType": "base64",
  "noresize": true,
  "aspectRatio": "1:1",
  "output_resolution": "0.5K",
  "output_format": "png"
}

Dieser Modus gibt die native Gemini-Pixelgröße für das angeforderte Verhältnis und die Auflösung zurück. Zum Beispiel gibt 1:1 + 0.5K 512x512 ohne Größenänderungsschritt zurück.

Erweitert (Vertikales Poster und 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": "Flash3.1",
  "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-Beispiel (Suchbasiert)

{
  "prompt": "A modern travel poster featuring today's weather and skyline highlights in Kuala Lumpur",
  "model": "Flash3.1",
  "outputFileName": "kl_travel_poster",
  "outputType": "base64",
  "outputWidth": 1024,
  "outputHeight": 1024,
  "grounding_type": "text",
  "thinking_mode": "high",
  "include_metadata": true,
  "include_thoughts": true
}

Dieses Beispiel aktiviert das Google-Suche-Grounding und gibt Grounding- und Reasoning-Metadaten in JSON zurück.

Mit Referenzbildern

{
  "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": "Flash3.1",
  "output_resolution": "0.5K",
  "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"
    }
  ]
}

Transparenz & Ausgabeformate

  • PNG: Volle Alpha, Farbschlüssel + Despill

  • WebP: Volle Alpha, bessere Komprimierung (Flash3.1+)

  • JPEG: Keine Transparenz (fällt auf soliden Hintergrund zurück)

Entwicklung

# Development mode with MCP CLI
npm run dev

# MCP Inspector (Web UI)
npm run inspect

# Build for production
npm run build

Lizenz

MIT

Available Tools

1 tool
generate_imageA
Destructive

Generate image assets using Gemini AI with optional transparency and reference images.

[Claude Desktop Guidance]

  • Prefer outputType='file' for medium or large images. base64 and combine responses can exceed Claude Desktop's context limit.

  • On Claude Desktop for Windows, use the FileSystem extension to choose reference-image paths and a writable absolute outputPath before calling this tool.

  • Use base64 only for small previews or when the client explicitly needs inline image data.

[Model Guidance]

  • NanoBanana2.1 (default): Google Nano Banana 2.1 (gemini-nano-banana-2.1). Best overall quality, prompt adherence, character consistency, text rendering and reference-image handling. Supports 1K/2K/4K and up to 14 reference images, plus thinking and grounding.

  • Flash3.1 (deprecated): gemini-3.1-flash-image. Google shuts it down on October 29, 2026; requests are rejected from that date. Please migrate to NanoBanana2.1.

  • Lite3.1 (Nano Banana 2 Lite): Ultra-fast, cost-effective, 1K-only, no search grounding. Ideal for quick drafting and low-latency iteration.

  • Pro3: Higher fidelity, but more costly and slower.

  • Flash2.5: Legacy, maintained for compatibility. 1K only. Aliases: 'flash' resolves to NanoBanana2.1 (the default), 'pro' to Pro3.

[Thinking] thinking_mode accepts minimal, medium, high (default: medium, matching NanoBanana2.1's model default). NanoBanana2.1 supports all three levels; Flash3.1 and Pro3 support minimal/high and fall back to their own default when given an unsupported level.

[Resolutions] output_resolution supports 1K, 2K and 4K (0.5K was removed in v1.6.0). It is auto-selected from the requested pixel size in normal mode.

[Aspect Ratios] Gemini supports the following aspect ratios (model-dependent):

  • Common to all models: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9

  • Flash3.1 only: 1:4, 4:1, 1:8, 8:1

Normal mode: provide outputWidth/outputHeight and the server will choose the closest Gemini aspect ratio and source resolution, then resize to the requested pixel size. No-resize mode: set noresize=true and provide aspectRatio plus output_resolution. The server will return Gemini's native pixel dimensions for that combination without post-generation resizing.

If you intentionally want to control resizing/cropping in normal mode, use the 'resizeMode' parameter: 'crop' (default, center crop), 'letterbox' (fit with padding), 'contain' (trim transparent margins then fit), or 'stretch' (distort to fit).

[IMPORTANT] Always preserve the user's prompt as-is, including language and nuance. Do not translate or summarize.

NameRequiredDescriptionDefault
debugNoDebug mode: output intermediate processing images and prompt
modelNoModel tier to use for generation (default: NanoBanana2.1; see tool description for details; "flash" resolves to NanoBanana2.1, "pro" to Pro3; "Lite3.1" is the low-latency Nano Banana 2 Lite model, 1K-only, no grounding; "Flash3.1" is deprecated — Google shuts it down on October 29, 2026)NanoBanana2.1
promptYesUser-provided image prompt. Preserve the original wording and detail; do not summarize or translate. Only append transparency-related hints if needed.
noresizeNoSkip post-generation resizing and return Gemini native dimensions directly. When true, provide aspectRatio and output_resolution instead of outputWidth/outputHeight.
fringeModeNoFringe reduction mode: auto (size-based), crisp (binary alpha), hd (force-clear 1px boundary for large images).auto
outputPathNoOutput directory path (MUST be an absolute path when outputType is file or combine). In Claude Desktop on Windows, use the FileSystem extension to choose or prepare a writable absolute path such as C:\temp.
outputTypeNoOutput format: file=file only, base64=base64 only, combine=both. In Claude Desktop, prefer file for medium or large images to avoid context-size limits; use base64 only for small previews.combine
resizeModeNoResize mode: crop=center crop, stretch=distort, letterbox=fit with padding, contain=trim transparent margins then fitcrop
aspectRatioNoGemini aspect ratio to use directly when noresize=true. Ignored in normal resize mode.
outputWidthNoOutput image width in pixels. Required unless noresize=true. In normal mode, the image will be generated using the closest supported Gemini aspect ratio and resolution, then resized to this width.
transparentNoRequest transparent background (PNG or WebP only). Background color is selected by histogram analysis.
outputHeightNoOutput image height in pixels. Required unless noresize=true. In normal mode, the image will be generated using the closest supported Gemini aspect ratio and resolution, then resized to this height.
output_formatNoOutput formatpng
thinking_modeNoThinking level: minimal, medium, high (default: medium, matching NanoBanana2.1's model default; requires a thinking-capable model — NanoBanana2.1 accepts all three levels, Flash3.1/Pro3 accept minimal/high and fall back to their own default otherwise)medium
colorToleranceNoTolerance for color matching (0-255). Higher values are more permissive for transparent color selection and keying.
grounding_typeNoGrounding tool usage (requires a grounding-capable model; see [Model Guidance] in the tool description)none
outputFileNameYesOutput filename (extension auto-added if missing)
referenceImagesNoReference images for style guidance (max 14 files; per-model limits are enforced automatically)
include_metadataNoInclude grounding and reasoning metadata in JSON output (optional, may increase payload size).
include_thoughtsNoOptional (default: false). Request thought fields from Gemini (thinking-capable models only). Thought content is returned in MCP response only when include_metadata=true.
transparentColorNoColor to make transparent. Hex (e.g. #FF00FF). null defaults to #FF00FF when transparent=true.
output_resolutionNoGemini generation source resolution: 1K, 2K, and 4K (optional in normal mode, required when noresize=true; 0.5K was removed in v1.6.0). In normal mode, the final image is resized to the requested pixel size after generation.

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare destructiveHint=true and openWorldHint=true, and the description adds substantial behavioral context beyond them: model deprecation dates, fallback behavior for unsupported thinking levels, histogram-based background selection, and the auto-resize pipeline. It does not explain the destructive aspect — notably whether an existing file at outputPath is overwritten — which is the main remaining gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded purpose followed by clearly bracketed sections, so the agent can scan to the relevant concern. It is long and the [Thinking], [Resolutions], and [Aspect Ratios] sections restate schema parameter descriptions, so not every sentence is strictly additive.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 22-parameter tool with no output schema, the description covers client constraints, model tiers, mode interplay, and prompt-preservation rules. It leaves unstated what happens on unwritable outputPath or on overwrite of an existing file, which matters given destructiveHint=true.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3, but the description adds model-dependent semantics not in the schema: which aspect ratios are Flash3.1-only, that aliases resolve ('flash' to NanoBanana2.1, 'pro' to Pro3), and how normal vs noresize mode changes which of outputWidth/outputHeight, aspectRatio, and output_resolution matter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The opening sentence states a specific verb and resource ('Generate image assets using Gemini AI') plus the two distinguishing capabilities (optional transparency, reference images). With no sibling tools to disambiguate against, this fully identifies the operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit when-to-use rules: prefer outputType='file' for medium/large images, base64 only for small previews, use FileSystem extension on Windows for reference paths, and normal mode vs noresize mode selection. Model selection is also routed with named tradeoffs (Lite3.1 for drafting, Pro3 for fidelity).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev1.6.0
    • Changedgenerate_image13 fields changed
      • changedInput schema / properties / grounding_type / description
        Previous value: -"Grounding tool usage (3.1 only)"New value: +"Grounding tool usage (requires a grounding-capable model; see [Model Guidance] in the tool description)"
      • changedInput schema / properties / include_thoughts / description
        Previous value: -"Optional (default: false). Request thought fields from Gemini (3.1 only). Thought content is returned in MCP response only when include_metadata=true."New value: +"Optional (default: false). Request thought fields from Gemini (thinking-capable models only). Thought content is returned in MCP response only when include_metadata=true."
      • changedInput schema / properties / model / default
        Previous value: -"Flash3.1"New value: +"NanoBanana2.1"
      • changedInput schema / properties / model / description
        Previous value: -"Model tier to use for generation (see tool description for details; \"flash\" and \"pro\" are aliases for Flash2.5 and Pro3; \"Lite3.1\" is the low-latency Nano Banana 2 Lite model, 1K-only, no grounding)"New value: +"Model tier to use for generation (default: NanoBanana2.1; see tool description for details; \"flash\" resolves to NanoBanana2.1, \"pro\" to Pro3; \"Lite3.1\" is the low-latency Nano Banana 2 Lite model, 1K-only, no grounding; \"Flash3.1\" is deprecated — Google shuts it down on October 29, 2026)"
      • changedInput schema / properties / model / enum
        Previous value: -[
        -  "Flash3.1",
        -  "Lite3.1",
        -  "Flash2.5",
        -  "Pro3",
        -  "flash",
        -  "pro"
        -]New value: +[
        +  "NanoBanana2.1",
        +  "Flash3.1",
        +  "Lite3.1",
        +  "Flash2.5",
        +  "Pro3",
        +  "flash",
        +  "pro"
        +]
      • changedInput schema / properties / output_resolution / description
        Previous value: -"Gemini generation source resolution (optional in normal mode, required when noresize=true). In normal mode, the final image is resized to the requested pixel size after generation."New value: +"Gemini generation source resolution: 1K, 2K, and 4K (optional in normal mode, required when noresize=true; 0.5K was removed in v1.6.0). In normal mode, the final image is resized to the requested pixel size after generation."
      • removedInput schema / properties / output_resolution / enum
        Removed value: -[
        -  "0.5K",
        -  "1K",
        -  "2K",
        -  "4K"
        -]
      • changedInput schema / properties / referenceImages / description
        Previous value: -"Reference images for style guidance (Flash2.5: max 3, others: max 14)"New value: +"Reference images for style guidance (max 14 files; per-model limits are enforced automatically)"
      • changedInput schema / properties / thinking_mode / default
        Previous value: -"minimal"New value: +"medium"
      • changedInput schema / properties / thinking_mode / description
        Previous value: -"Thinking mode (3.1 only)"New value: +"Thinking level: minimal, medium, high (default: medium, matching NanoBanana2.1's model default; requires a thinking-capable model — NanoBanana2.1 accepts all three levels, Flash3.1/Pro3 accept minimal/high and fall back to their own default otherwise)"
      • changedInput schema / properties / thinking_mode / enum
        Previous value: -[
        -  "minimal",
        -  "high"
        -]New value: +[
        +  "minimal",
        +  "medium",
        +  "high"
        +]
      • removedInput schema / properties / transparentColor / anyOf
        Removed value: -[
        -  {
        -    "type": "string"
        -  },
        -  {
        -    "type": "null"
        -  }
        -]
      • addedInput schema / properties / transparentColor / type
        Added value: +[
        +  "string",
        +  "null"
        +]
  2. 1 tool updatev1.5.0
    • Changedgenerate_image14 fields changed
      • addedInput schema / properties / aspectRatio
        Added value: +{
        +  "description": "Gemini aspect ratio to use directly when noresize=true. Ignored in normal resize mode.",
        +  "enum": [
        +    "1:1",
        +    "2:3",
        +    "3:2",
        +    "3:4",
        +    "4:3",
        +    "4:5",
        +    "5:4",
        +    "9:16",
        +    "16:9",
        +    "21:9",
        +    "1:4",
        +    "4:1",
        +    "1:8",
        +    "8:1"
        +  ],
        +  "type": "string"
        +}
      • changedInput schema / properties / model / description
        Previous value: -"Model tier to use for generation (see tool description for details; \"flash\" and \"pro\" are aliases for Flash2.5 and Pro3)"New value: +"Model tier to use for generation (see tool description for details; \"flash\" and \"pro\" are aliases for Flash2.5 and Pro3; \"Lite3.1\" is the low-latency Nano Banana 2 Lite model, 1K-only, no grounding)"
      • changedInput schema / properties / model / enum
        Previous value: -[
        -  "Flash3.1",
        -  "Flash2.5",
        -  "Pro3",
        -  "flash",
        -  "pro"
        -]New value: +[
        +  "Flash3.1",
        +  "Lite3.1",
        +  "Flash2.5",
        +  "Pro3",
        +  "flash",
        +  "pro"
        +]
      • addedInput schema / properties / noresize
        Added value: +{
        +  "default": false,
        +  "description": "Skip post-generation resizing and return Gemini native dimensions directly. When true, provide aspectRatio and output_resolution instead of outputWidth/outputHeight.",
        +  "type": "boolean"
        +}
      • changedInput schema / properties / outputHeight / description
        Previous value: -"Output image height in pixels. The image will be generated using the closest supported Gemini aspect ratio and resolution, then resized to this height. To avoid cropping or padding, set width and height to match a supported aspect ratio (see tool description)."New value: +"Output image height in pixels. Required unless noresize=true. In normal mode, the image will be generated using the closest supported Gemini aspect ratio and resolution, then resized to this height."
      • changedInput schema / properties / outputPath / description
        Previous value: -"Output directory path (MUST be an absolute path when outputType is file or combine)"New value: +"Output directory path (MUST be an absolute path when outputType is file or combine). In Claude Desktop on Windows, use the FileSystem extension to choose or prepare a writable absolute path such as C:\\temp."
      • changedInput schema / properties / outputType / description
        Previous value: -"Output format: file=file only, base64=base64 only, combine=both"New value: +"Output format: file=file only, base64=base64 only, combine=both. In Claude Desktop, prefer file for medium or large images to avoid context-size limits; use base64 only for small previews."
      • changedInput schema / properties / outputWidth / description
        Previous value: -"Output image width in pixels. The image will be generated using the closest supported Gemini aspect ratio and resolution, then resized to this width. To avoid cropping or padding, set width and height to match a supported aspect ratio (see tool description)."New value: +"Output image width in pixels. Required unless noresize=true. In normal mode, the image will be generated using the closest supported Gemini aspect ratio and resolution, then resized to this width."
      • changedInput schema / properties / output_resolution / description
        Previous value: -"Gemini generation source resolution (optional; normally auto-calculated from pixel size. Set only to override. Final image is resized to requested pixel size.)"New value: +"Gemini generation source resolution (optional in normal mode, required when noresize=true). In normal mode, the final image is resized to the requested pixel size after generation."
      • removedInput schema / properties / referenceImages / items / additionalProperties
        Removed value: -false
      • changedInput schema / properties / referenceImages / items / properties / filePath / description
        Previous value: -"Absolute path to reference image file (.png, .jpg, .jpeg, .webp)"New value: +"Absolute path to reference image file (.png, .jpg, .jpeg, .webp). In Claude Desktop on Windows, use the FileSystem extension to locate the file and pass its Windows absolute path."
      • addedInput schema / properties / transparentColor / anyOf
        Added value: +[
        +  {
        +    "type": "string"
        +  },
        +  {
        +    "type": "null"
        +  }
        +]
      • removedInput schema / properties / transparentColor / type
        Removed value: -[
        -  "string",
        -  "null"
        -]
      • changedInput schema / required
        Previous value: -[
        -  "prompt",
        -  "outputFileName",
        -  "outputWidth",
        -  "outputHeight"
        -]New value: +[
        +  "prompt",
        +  "outputFileName"
        +]
  3. 1 tool updatev1.3.6
    • First observedgenerate_image

TDQS

A4.4/5.0

Scored across 1 tool

Disambiguation5/5

With a single tool there is no possibility of misselection; generate_image has one unambiguous purpose. The extensive guidance distinguishes modes and parameters rather than competing tools, so no disambiguation burden is placed on the agent.

Naming Consistency5/5

generate_image follows a clear verb_noun snake_case pattern. There are no other names to conflict with, so consistency is trivially satisfied and readable.

Tool Count3/5

A one-tool surface is thin for what is effectively a full image-generation service with multiple models, resolutions, reference handling, and resize modes. Much of that surface is expressed through parameters and documentation rather than discoverable tools, making the count borderline.

Completeness4/5

Core generation is well covered: model choice, resolution, aspect ratio, transparency, reference images, and resize behavior are all parameterized. Minor gaps exist around ancillary operations such as editing/upscaling existing assets or programmatically listing available models, which are only described in prose guidance.

Maintenance

ActivityMaintained
ResponsivenessSyncing

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