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Together Ai Image Server
What is Together Ai Image Server
Together AI Image Server is a TypeScript-based MCP server that facilitates image generation using Together AI’s API. It serves as a bridge between MCP-compatible assistants and the image generation capabilities of Together AI.
Use cases
Use cases include generating artwork based on user prompts, creating illustrations for articles or blogs, producing images for social media posts, and assisting designers in visualizing concepts.
How to use
To use Together AI Image Server, clone the repository, install dependencies, and set your Together AI API key as an environment variable. Configure the server in your MCP-compatible assistant, such as Claude Desktop, by adding the server configuration to the appropriate JSON file.
Key features
Key features include the ‘generate_image’ tool, which allows users to generate images from text prompts, control the number of diffusion steps, and specify the number of images to generate. The server returns URLs and local paths for the generated images.
Where to use
Together AI Image Server can be used in various fields such as digital art creation, content generation for marketing, educational tools, and any application requiring image generation from textual descriptions.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Together Ai Image Server
Together AI Image Server is a TypeScript-based MCP server that facilitates image generation using Together AI’s API. It serves as a bridge between MCP-compatible assistants and the image generation capabilities of Together AI.
Use cases
Use cases include generating artwork based on user prompts, creating illustrations for articles or blogs, producing images for social media posts, and assisting designers in visualizing concepts.
How to use
To use Together AI Image Server, clone the repository, install dependencies, and set your Together AI API key as an environment variable. Configure the server in your MCP-compatible assistant, such as Claude Desktop, by adding the server configuration to the appropriate JSON file.
Key features
Key features include the ‘generate_image’ tool, which allows users to generate images from text prompts, control the number of diffusion steps, and specify the number of images to generate. The server returns URLs and local paths for the generated images.
Where to use
Together AI Image Server can be used in various fields such as digital art creation, content generation for marketing, educational tools, and any application requiring image generation from textual descriptions.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Together AI Image Server
English | 简体中文
A TypeScript-based MCP (Model Context Protocol) server for generating images using Together AI API.
Overview
This server provides a simple interface to generate images using Together AI’s image generation models through the MCP protocol. It allows Claude and other MCP-compatible assistants to generate images based on text prompts.
Features
Tools
generate_image- Generate images from text prompts- Takes a text prompt as required parameter
- Optional parameters for controlling generation steps and number of images
- Returns URLs and local paths to generated images
Prerequisites
- Node.js (v14 or later recommended)
- Together AI API key
Installation
# Clone the repository
git clone https://github.com/zym9863/together-ai-image-server.git
cd together-ai-image-server
# Install dependencies
npm install
Configuration
Set your Together AI API key as an environment variable:
# On Linux/macOS
export TOGETHER_API_KEY="your-api-key-here"
# On Windows (Command Prompt)
set TOGETHER_API_KEY=your-api-key-here
# On Windows (PowerShell)
$env:TOGETHER_API_KEY="your-api-key-here"
Alternatively, you can create a .env file in the project root:
TOGETHER_API_KEY=your-api-key-here
Development
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Usage with Claude Desktop
To use with Claude Desktop, add the server config:
On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"Together AI Image Server": {
"command": "/path/to/together-ai-image-server/build/index.js"
}
}
}
Replace /path/to/together-ai-image-server with the actual path to your installation.
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
API Reference
generate_image
Generates images based on a text prompt using Together AI’s image generation API.
Parameters:
prompt(string, required): Text prompt for image generationsteps(number, optional, default: 4): Number of diffusion steps (1-4)n(number, optional, default: 1): Number of images to generate (1-4)
Returns:
JSON object containing:
image_urls: Array of URLs to the generated imageslocal_paths: Array of paths to locally cached images
License
MIT
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










