MAVAE Image Toolbox

Example Use Cases

• 1

  Generate images programmatically using raw AIGC configurations or predefined collections.

• 2

  Edit images (compress, crop, resize) as part of a content pipeline or automated workflow.

• 3

  Manage image collections, available models/Loras, and API tokens to control generation and access.

Description

MAVAE is a Model Context Protocol (MCP) server that exposes image generation and editing capabilities (generate, retry, compress, crop, resize) plus collection, model and token management via a standardized API. It is designed so AI agents can programmatically create and manipulate images using raw configs or reusable collections, and manage models/Loras and API tokens. The project includes tooling, TypeScript source, Docker support and examples for local MCP usage.