Free Image Generation MCP Server

# Image Generation MCP Server

A Model Context Protocol (MCP) server that enables seamless generation of high-quality images using the Flux.1 Schnell model via Together AI. This server provides a standardized interface to specify image generation parameters.

Features

• High-quality image generation powered by the Flux.1 Schnell model
• Support for customizable dimensions (width and height)
• Clear error handling for prompt validation and API issues
• Easy integration with MCP-compatible clients
• Optional image saving to disk in PNG format

Installation

```bash npm install together-mcp ```

Or run directly:

```bash npx together-mcp@latest ```

Configuration

Add to your MCP server configuration:

Configuration Example

```json { "mcpServers": { "together-image-gen": { "command": "npx", "args": ["together-mcp@latest -y"], "env": { "TOGETHER_API_KEY": "" } } } } ```

Usage

The server provides one tool: `generate_image`

Using generate_image

This tool has only one required parameter - the prompt. All other parameters are optional and use sensible defaults if not provided.

Parameters

```typescript { // Required prompt: string; // Text description of the image to generate

// Optional with defaults model?: string; // Default: "black-forest-labs/FLUX.1-schnell-Free" width?: number; // Default: 1024 (min: 128, max: 2048) height?: number; // Default: 768 (min: 128, max: 2048) steps?: number; // Default: 1 (min: 1, max: 100) n?: number; // Default: 1 (max: 4) response_format?: string; // Default: "b64_json" (options: ["b64_json", "url"]) image_path?: string; // Optional: Path to save the generated image as PNG } ```

Minimal Request Example

Only the prompt is required:

```json { "name": "generate_image", "arguments": { "prompt": "A serene mountain landscape at sunset" } } ```

Full Request Example with Image Saving

Override any defaults and specify a path to save the image:

```json { "name": "generate_image", "arguments": { "prompt": "A serene mountain landscape at sunset", "width": 1024, "height": 768, "steps": 20, "n": 1, "response_format": "b64_json", "model": "black-forest-labs/FLUX.1-schnell-Free", "image_path": "/path/to/save/image.png" } } ```

Response Format

The response will be a JSON object containing:

```json { "id": string, // Generation ID "model": string, // Model used "object": "list", "data": [ { "timings": { "inference": number // Time taken for inference }, "index": number, // Image index "b64_json": string // Base64 encoded image data (if response_format is "b64_json") // OR "url": string // URL to generated image (if response_format is "url") } ] } ```

If image_path was provided and the save was successful, the response will include confirmation of the save location.

Default Values

If not specified in the request, these defaults are used:

• model: "black-forest-labs/FLUX.1-schnell-Free"
• width: 1024
• height: 768
• steps: 1
• n: 1
• response_format: "b64_json"

Important Notes

1. Only the `prompt` parameter is required
2. All optional parameters use defaults if not provided
3. When provided, parameters must meet their constraints (e.g., width/height ranges)
4. Base64 responses can be large - use URL format for larger images
5. When saving images, ensure the specified directory exists and is writable

Prerequisites

• Node.js >= 16
• Together AI API key
  1. Sign in at [api.together.xyz](https://api.together.xyz/)
  2. Navigate to [API Keys settings](https://api.together.xyz/settings/api-keys)
  3. Click "Create" to generate a new API key
  4. Copy the generated key for use in your MCP configuration

Dependencies

```json { "@modelcontextprotocol/sdk": "0.6.0", "axios": "^1.6.7" } ```

Development

Clone and build the project:

```bash git clone https://github.com/manascb1344/together-mcp-server cd together-mcp-server npm install npm run build ```

Available Scripts

• `npm run build` - Build the TypeScript project
• `npm run watch` - Watch for changes and rebuild
• `npm run inspector` - Run MCP inspector

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository
2. Create a new branch (`feature/my-new-feature`)
3. Commit your changes
4. Push the branch to your fork
5. Open a Pull Request

Feature requests and bug reports can be submitted via GitHub Issues. Please check existing issues before creating a new one.

For significant changes, please open an issue first to discuss your proposed changes.

License

This project is licensed under the MIT License. See the LICENSE file for details.