# Together AI Image Generation

> Use this tool when you need to generate images from text prompts for creative applications, content generation, or visual design tasks. It provides a streamlined interface for creating images using the Flux.1 Schnell model via Together AI, taking text prompts as input and producing generated images as output. Ideal for AI systems looking to incorporate visual content creation into their workflows, this tool simplifies image generation and enables rapid prototyping and visualization of ideas.

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

## Description

This MCP server, developed by an unknown author, provides image generation capabilities for AI assistants using the Flux.1 Schnell model via Together AI. Built with Python and leveraging the httpx and mcp libraries, it offers a streamlined interface for creating images from text prompts. The server implements standard MCP endpoints for image generation, abstracting the complexities of API communication with Together AI. By providing a simple, standardized way to generate images, it enables AI systems to easily incorporate visual content creation into their workflows. This implementation is particularly useful for creative applications, content generation, and visual design tasks, allowing for rapid prototyping and visualization of ideas through AI-generated imagery.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sarthakkimtani-together-ai-image-generation)
- **Repository:** <https://github.com/sarthakkimtani/mcp-image-gen>

## 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": "sarthakkimtani-together-ai-image-generation"
    }
  }
}
```

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