# Together AI Image Generation

> Use this tool when you need to generate images based on text prompts, such as creating visual content or enhancing creative workflows. It provides a bridge to the Together AI API, utilizing TypeScript and Node.js to offer AI-powered image creation capabilities. Ideal for use cases requiring automated image generation, this tool takes text inputs and produces generated images as output.

Canonical page: https://skillsregistry.net/skills/zym-together-ai-image  
JSON: https://api.skillsregistry.net/v1/skills/zym-together-ai-image

## Description

This MCP server implementation provides a bridge to the Together AI API for generating images. Developed by zym, it utilizes TypeScript and Node.js, offering tools for image creation based on text prompts. The server integrates with the Model Context Protocol SDK and includes features for building and running the application. It's designed for use cases requiring AI-powered image generation, such as creating visual content or enhancing creative workflows.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zym-together-ai-image)
- **Repository:** <https://github.com/zym9863/together-ai-image-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": "zym-together-ai-image"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zym-together-ai-image` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zym-together-ai-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