KOF Nano Banana MCP Server

Generate an image using Gemini's native image generation (Nano Banana).

This tool calls the Gemini API to generate an image based on your text prompt and saves it to the specified path.

Models:

• gemini-2.5-flash-image: Fast, efficient (~$0.039/image)

• gemini-3-pro-image-preview: Higher quality, supports 4K (~$0.134-0.24/image)

Supported Aspect Ratios: 1:1, 16:9, 9:16, 4:3, 3:4

Example:

prompt: "A modern flat illustration of a workflow diagram with three connected nodes, purple and blue gradient colors, minimal style"
output_path: "assets/generated/workflow-hero.png"
model: "gemini-2.5-flash-image"
aspect_ratio: "16:9"

List and validate prompt files in the queue directory.

This tool scans the queue directory for markdown prompt files and provides:

• Validation status for each file

• Conflict detection (output file already exists)

• Preview of prompt content

Use this to review what will be generated before running process_queue.

Example:

queue_dir: "nanobanana/queue"
validate: true
check_conflicts: true

Process all prompt files in the queue directory and generate images.

Modes:

• validate_only=true: Only validate prompts, no API calls

• dry_run=true: Show what would be generated, no API calls

• Both false: Actually generate images

Overwrite Strategies:

• skip: Skip if output file exists (default)

• overwrite: Replace existing files

• rename: Generate with suffix (e.g., hero_1.png)

After successful generation, prompt files are moved to completed_dir with timestamp.

Example:

queue_dir: "nanobanana/queue"
dry_run: true
overwrite: "skip"