Together AI Image Generation
STDIOTypeScript-based MCP server for generating images using Together AI API.
TypeScript-based MCP server for generating images using Together AI API.
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A TypeScript-based MCP (Model Context Protocol) server for generating images using Together AI API.
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.
generate_image
- Generate images from text prompts
# Clone the repository git clone https://github.com/zym9863/together-ai-image-server.git cd together-ai-image-server # Install dependencies npm install
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
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
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.
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.
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 imagesMIT
Contributions are welcome! Please feel free to submit a Pull Request.