# FluxMCP

> Use this tool when you need to generate high-quality images using AI, with features like context-aware editing and asynchronous task management. FluxMCP solves problems such as creating realistic images, editing images with specific contexts, and managing multiple image generation tasks. It takes in text prompts and model selections as inputs and outputs generated images, making it ideal for use cases like art creation, design prototyping, and content generation.

Canonical page: https://skillsregistry.net/skills/acedatacloud-mcpflux  
JSON: https://api.skillsregistry.net/v1/skills/acedatacloud-mcpflux

## Description

AI image generation with 6 Flux models (flux-dev, flux-pro, flux-kontext) including context-aware image editing, async task management, and built-in model guide.

## Trust

- **Trust score (0–1):** 0.82
- **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:** [Glama](https://glama.ai/mcp/servers/hzyhphhzss)
- **Repository:** <https://github.com/AceDataCloud/FluxMCP>

## 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": "acedatacloud-mcpflux"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/acedatacloud-mcpflux` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/acedatacloud-mcpflux/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