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together-ai-image-server

一个MCP服务器,它使克劳德和其他与MCP兼容的助手能够使用Together AI的图像生成模型,从文本提示中生成图像。

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README

Together AI Image Server

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A TypeScript-based MCP (Model Context Protocol) server for generating images using Together AI API.

Together AI Image Server MCP server

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 generation
  • steps (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 images
  • local_paths: Array of paths to locally cached images

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client