MCP.so
Sign In

Together AI Image Server

@zym9863

About Together AI Image Server

The server acts as a bridge between MCP-compatible assistants and Together AI's image generation capabilities.

Basic information

Category

Media & Design

License

MIT

Runtime

node

Transports

stdio

Publisher

zym9863

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

1

Generate images from text prompts

Overview

What is Together AI Image Server?

Together AI Image Server is a TypeScript-based MCP (Model Context Protocol) server that generates images using the Together AI API. It provides a simple interface for Claude and other MCP-compatible assistants to create images from text prompts.

How to use Together AI Image Server?

Install the server by cloning the repository and running npm install. Set the TOGETHER_API_KEY environment variable or create a .env file with your Together AI API key. Build the server with npm run build, then configure Claude Desktop by adding the path to the built index.js in the mcpServers section of the Claude Desktop configuration file.

Key features of Together AI Image Server

  • Exposes a generate_image tool for text-to-image generation
  • Requires only a text prompt; optional steps (1-4) and number of images (1-4)
  • Returns image URLs and local file paths
  • Built with TypeScript for reliable MCP integration
  • Debug using the MCP Inspector via npm run inspector

Use cases of Together AI Image Server

  • Generate images directly from Claude Desktop conversations
  • Create multiple image variations from a single prompt
  • Cache generated images locally for later use
  • Integrate image generation into any MCP-compatible workflow

FAQ from Together AI Image Server

What runtime and API key are required?

Node.js v14 or later and a Together AI API key are required. The API key is set as the environment variable TOGETHER_API_KEY or in a .env file.

Where are generated images stored?

The server returns URLs to the images and saves local copies to paths reported in the response.

What are the limits for image generation?

The steps parameter accepts 1–4 diffusion steps (default 4), and the n parameter accepts 1–4 images (default 1).

How does the server communicate with clients?

The server uses the MCP protocol over standard I/O (stdio), as is typical for MCP servers.

How can I debug the server?

Use the MCP Inspector by running npm run inspector, which provides a URL for browser-based debugging tools.

Comments

More Media & Design MCP servers