Ideogram MCP Server logo

Ideogram MCP Server

by Sunwood-ai-labs

The Ideogram MCP Server provides image generation capabilities using the Ideogram API. It serves as a Model Context Protocol (MCP) server.

View on GitHub

Last updated: N/A

What is Ideogram MCP Server?

The Ideogram MCP Server is a server that provides image generation functionality by leveraging the Ideogram API. It allows users to generate images based on text prompts and various customizable parameters.

How to use Ideogram MCP Server?

To use the server, you need to install the dependencies using npm install, set the IDEOGRAM_API_KEY environment variable in a .env file, and build the project using npm run build. Then use the generate_image tool with required and optional parameters.

Key features of Ideogram MCP Server

  • Prompt-based image generation

  • Customizable aspect ratio

  • Model selection

  • Magic prompt options

  • Style type selection

  • Negative prompt support

  • Adjustable number of images (1-8)

Use cases of Ideogram MCP Server

  • Generating images from text descriptions

  • Creating custom images with specific aspect ratios

  • Experimenting with different image generation models

  • Refining image generation with negative prompts

  • Generating multiple variations of an image

FAQ from Ideogram MCP Server

What is the purpose of the IDEOGRAM_API_KEY?

The IDEOGRAM_API_KEY is required to authenticate with the Ideogram API and access its image generation services.

What aspect ratios are supported?

The server supports aspect ratios such as ASPECT_1_1, ASPECT_4_3, ASPECT_3_4, ASPECT_16_9, and ASPECT_9_16.

Which models can I use for image generation?

You can choose from models like V_1, V_1_TURBO, V_2, and V_2_TURBO.

What is a magic prompt?

Magic prompts are options to enhance the prompt automatically. You can set it to AUTO, ON, or OFF.

How can I contribute to the project?

You can contribute by forking the repository, creating a new branch with your changes, committing your changes, pushing the branch, and creating a pull request.