Generate an image from a text prompt using Google Gemini.

Edit an existing image using a text prompt.

Remove the background from an image.

Uses AI to isolate the main subject and remove the background. Best results with clear subjects against distinct backgrounds.

Transform an image using Pillow operations.

Upscale an image to higher resolution (requires Vertex AI).

This feature requires Google Cloud Vertex AI credentials. Set GOOGLE_CLOUD_PROJECT environment variable to enable.

Advanced image editing with specialized modes (requires Vertex AI).

This feature requires Google Cloud Vertex AI credentials. Set GOOGLE_CLOUD_PROJECT environment variable to enable.

Analyze an image and get a detailed description.

Extract text from an image using OCR.

Uses Gemini's vision capabilities for high-quality text extraction. Works with screenshots, documents, signs, handwriting, etc.

Detect objects in an image with bounding boxes.

Uses Gemini's zero-shot object detection. Returns bounding box coordinates normalized to 0-1000 scale as [y_min, x_min, y_max, x_max].

Compare two or more images and analyze differences.

Useful for A/B testing, design review, before/after comparison, and change detection.

Enhance a basic prompt for dramatically better image results.

Uses AI to add details about lighting, composition, colors, textures, and artistic techniques. The #1 way to improve generation quality.

List available prompt templates for image generation.

Apply a prompt template with a subject to generate a ready-to-use prompt.

Estimate the cost of an image operation.

Shows pricing per model per operation to help with budgeting.

List recent generation history.

Get details of a specific generation by ID.

Generate multiple images in parallel from a list of prompts.

List all available image generation models with capabilities.

Returns model details including speed, quality, resolution support, and best use cases. Use this to pick the right model for your task.

Returns: Dictionary with model details and selection guidance

Example: list_available_models()

Get MCP server configuration, capabilities, and available tools.

Returns: Dictionary with server info and feature overview