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.
Together AI Image Server
Project Details
- zym9863/together-ai-image-server
- MIT License
- Last Updated: 4/21/2025
Recomended MCP Servers
Rad Security MCP Server
AI-powered search capabilities for AI assistants using the Tavily API and Model Context Protocol (MCP)
A Model Context Protocol server implementation for ClickUp integration, enabling AI assistants to interact with ClickUp workspaces.
A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for...
An MCP server for OBS
🚀 MCP aggregator for batching multiple tool calls into a single request. Reduces overhead, saves tokens, and simplifies...
Model Context Protocol (MCP) Server for the JFrog Platform API, enabling repository management, build tracking, release lifecycle management,...
Cryptocurrency Market Data MCP Server
This is an MCP (Model Context Protocol) Server for discovering and downloading 3D models
A model-agnostic Message Control Protocol (MCP) server that enables seamless integration with various Large Language Models (LLMs) like...





