# FLUX MCP Server

> Use this tool when you need to generate high-quality images efficiently, as it solves problems of resource-intensive image processing by utilizing memory-efficient bfloat16 processing and automatic model unloading. The FLUX MCP Server takes input through Claude Desktop or CLI and outputs generated images, making it ideal for applications where VRAM conservation is crucial. It is particularly useful in contexts where image generation needs to be both rapid and resource-efficient.

Canonical page: https://skillsregistry.net/skills/tehw0lf-flux-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tehw0lf-flux-mcp

## Description

Enables high-quality image generation using FLUX.1-dev through Claude Desktop or CLI, with automatic model unloading to save VRAM and memory-efficient bfloat16 processing.

## Trust

- **Trust score (0–1):** 0.92
- **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/fczexzoac8)
- **Repository:** <https://github.com/tehw0lf/flux-mcp>

## 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": "tehw0lf-flux-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tehw0lf-flux-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tehw0lf-flux-mcp/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