Imagegen Go is a Go-based server that leverages OpenAI's DALL-E API to generate images using the Model Control Protocol (MCP).

Where can I find the logs for the test scripts?

All test script activities are logged to the 'logs' directory for easy analysis and debugging.

Where are the generated images saved?

By default, generated images are saved to your Downloads directory. You can also specify a custom destination path using the 'destination' parameter.

What is the Model Control Protocol (MCP)?

MCP is a protocol that enables communication between models and tools, using JSON-RPC 2.0. Imagegen Go implements several MCP methods.

How do I use Imagegen Go?

First, set your OpenAI API key as an environment variable. Then, you can use the provided test scripts to initialize, list available tools, and generate images with custom prompts, width, and height.

Imagegen Go

Name: Imagegen Go
Author: shawnzxx

byshawnzxx

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Desarrollo de API

Generates images using OpenAI's DALL-E API via the Model Control Protocol (MCP).

Imagegen Go is an MCP server that leverages the OpenAI DALL-E API to create images based on textual prompts. It adheres to the MCP protocol, facilitating communication between models and tools. The server offers functionalities such as initializing, listing available tools, and generating images with customizable dimensions. It's designed for environments requiring automated image generation driven by an MCP-compliant system.

Características Principales

01Implements MCP methods: initialize, tools/list, tools/call, resources/list, prompts/list

02Provides a 'generate-image' tool with adjustable prompt, width, and height parameters

03Includes test scripts for basic, detailed, interactive, and single-request testing

04Logs all test script activities to a dedicated 'logs' directory for easy analysis

05Supports saving generated images to a user-defined destination path or the default Downloads directory

060 GitHub stars

Casos de Uso

01Automated image creation within an MCP-driven workflow

02Integrating image generation capabilities into existing MCP-compatible systems

03Generating visual content programmatically based on textual descriptions