# Together AI Image Generation

> Use this tool when you need to generate high-quality images on demand using AI models, particularly for applications requiring visual content creation, design prototyping, or text-to-image interactions. It accepts parameters like prompts, models, and output settings through a standardized interface, simplifying access to advanced image generation capabilities. Ideal for AI assistants and apps needing automated image creation, it produces optimized JPEG outputs with automatic resizing.

Canonical page: https://skillsregistry.net/skills/stefanskiasan-togetherai-image  
JSON: https://api.skillsregistry.net/v1/skills/stefanskiasan-togetherai-image

## Description

This Together AI Image Server, developed as an open-source project, enables generation of images using Together AI's models through a standardized MCP interface. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides a 'generate_image' tool that accepts parameters like prompt, model, dimensions, and output settings. The implementation focuses on simplifying access to Together AI's image generation capabilities, with features like automatic image resizing and high-quality JPEG output. It's particularly useful for AI assistants and applications needing to incorporate on-demand image creation, enabling use cases such as visual content generation, design prototyping, and augmented text-to-image interactions without directly dealing with the complexities of the Together AI API.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/stefanskiasan-togetherai-image)
- **Repository:** <https://github.com/stefanskiasan/togetherai-image-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "stefanskiasan-togetherai-image"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stefanskiasan-togetherai-image` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stefanskiasan-togetherai-image/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt