Together AI Image Server
by zym9863
A TypeScript-based MCP server for generating images using the Together AI API. It provides a simple interface to generate images using Together AI's image generation models through the MCP protocol.
Last updated: N/A
What is Together AI Image Server?
This server is a Model Context Protocol (MCP) server that allows Claude and other MCP-compatible assistants to generate images based on text prompts using the Together AI API.
How to use Together AI Image Server?
- Clone the repository.
- Install dependencies using
npm install. - Configure your Together AI API key as an environment variable or in a
.envfile. - Build the server using
npm run build. - Configure Claude Desktop to use the server by adding the server config to
claude_desktop_config.json.
Key features of Together AI Image Server
Generates images from text prompts using Together AI API
Supports optional parameters for controlling generation steps and number of images
Returns URLs and local paths to generated images
MCP compatible
Use cases of Together AI Image Server
Generating images from text descriptions within Claude Desktop
Integrating image generation capabilities into other MCP-compatible applications
Creating visual content programmatically
Prototyping image-based applications
FAQ from Together AI Image Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a standard for communication between AI models and applications.
What is Together AI?
What is Together AI?
Together AI is a platform that provides access to various AI models, including image generation models.
How do I get a Together AI API key?
How do I get a Together AI API key?
You need to sign up for an account on the Together AI platform and obtain an API key from their dashboard.
What are the required parameters for the generate_image API?
What are the required parameters for the generate_image API?
The generate_image API requires a prompt parameter, which is the text prompt for image generation.
How can I debug the server?
How can I debug the server?
Use the MCP Inspector by running npm run inspector. It provides a URL to access debugging tools in your browser.