MCP Flux Pro

MCP server for Flux AI image generation and editing via Ace Data Cloud.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-flux-pro": {
      "command": "uvx",
      "args": [
        "mcp-flux-pro"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (6)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Flux Pro.

flux_generate_image

Generate AI images from a text prompt using Flux.

flux_edit_image

Edit an existing image using Flux with a text prompt.

flux_list_models

List all available Flux models and their capabilities.

flux_list_actions

List all available Flux tools and their use cases.

flux_get_task

Query the status and result of a Flux image generation task.

flux_get_tasks_batch

Query multiple Flux image generation tasks at once.

Documentation Overview

FluxMCP

A Model Context Protocol (MCP) server for AI image generation and editing using Flux through the AceDataCloud platform.

Generate and edit stunning AI images with Flux models (flux-dev, flux-pro, flux-kontext) directly from Claude, Cursor, or any MCP-compatible client.

Features

Image Generation - Generate images from text prompts with 6 Flux models
Image Editing - Edit existing images with context-aware Flux Kontext models
Task Management - Track async generation tasks and batch status queries
Model Guide - Built-in model selection and prompt writing guidance
Dual Transport - stdio (local) and HTTP (remote/cloud) modes
Docker Ready - Containerized with K8s deployment manifests
Secure - Bearer token auth with per-request isolation in HTTP mode

Tool Reference

Tool	Description
`flux_generate_image`	Generate AI images from a text prompt using Flux.
`flux_edit_image`	Edit an existing image using Flux with a text prompt.
`flux_list_models`	List all available Flux models and their capabilities.
`flux_list_actions`	List all available Flux tools and their use cases.
`flux_get_task`	Query the status and result of a Flux image generation task.
`flux_get_tasks_batch`	Query multiple Flux image generation tasks at once.

Quick Start

1. Get Your API Token

Sign up at AceDataCloud Platform
Go to the API documentation page
Click "Acquire" to get your API token
Copy the token for use below

2. Use the Hosted Server (Recommended)

AceDataCloud hosts a managed MCP server — no local installation required.

Endpoint: https://flux.mcp.acedata.cloud/mcp

All requests require a Bearer token. Use the API token from Step 1.

Claude.ai

Connect directly on Claude.ai with OAuth — no API token needed:

Go to Claude.ai Settings → Integrations → Add More
Enter the server URL: https://flux.mcp.acedata.cloud/mcp
Complete the OAuth login flow
Start using the tools in your conversation

Claude Desktop

Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

config.json

{
  "mcpServers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cursor / Windsurf

Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):

config.json

{
  "mcpServers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

VS Code (Copilot)

Add to your VS Code MCP config (.vscode/mcp.json):

config.json

{
  "servers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Or install the Ace Data Cloud MCP extension for VS Code, which registers the hosted MCP servers with one-click setup.

JetBrains IDEs

Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
Click Add → HTTP
Paste:

config.json

{
  "mcpServers": {
    "flux": {
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Claude Code

Claude Code supports MCP servers natively:

Terminal

claude mcp add flux --transport http https://flux.mcp.acedata.cloud/mcp \
  -h "Authorization: Bearer YOUR_API_TOKEN"

Or add to your project's .mcp.json:

config.json

{
  "mcpServers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cline

Add to Cline's MCP settings (.cline/mcp_settings.json):

config.json

{
  "mcpServers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Amazon Q Developer

Add to your MCP configuration:

config.json

{
  "mcpServers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Roo Code

Add to Roo Code MCP settings:

config.json

{
  "mcpServers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Continue.dev

Add to .continue/config.yaml:

yaml

mcpServers:
  - name: flux
    type: streamable-http
    url: https://flux.mcp.acedata.cloud/mcp
    headers:
      Authorization: "Bearer YOUR_API_TOKEN"

Zed

Add to Zed's settings (~/.config/zed/settings.json):

config.json

{
  "language_models": {
    "mcp_servers": {
      "flux": {
        "url": "https://flux.mcp.acedata.cloud/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_TOKEN"
        }
      }
    }
  }
}

cURL Test

bash

# Health check (no auth required)
curl https://flux.mcp.acedata.cloud/health

# MCP initialize
curl -X POST https://flux.mcp.acedata.cloud/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'

3. Or Run Locally (Alternative)

If you prefer to run the server on your own machine:

server.ts

# Install from PyPI
pip install mcp-flux-pro
# or
uvx mcp-flux-pro

# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"

# Run (stdio mode for Claude Desktop / local clients)
mcp-flux-pro

# Run (HTTP mode for remote access)
mcp-flux-pro --transport http --port 8000

Claude Desktop (Local)

config.json

{
  "mcpServers": {
    "flux": {
      "command": "uvx",
      "args": ["mcp-flux-pro"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_token_here"
      }
    }
  }
}

Docker (Self-Hosting)

Terminal

docker pull ghcr.io/acedatacloud/mcp-flux-pro:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-flux-pro:latest

Clients connect with their own Bearer token — the server extracts the token from each request's Authorization header.

Available Tools

Tool	Description
`flux_generate_image`	Generate images from text prompts with model selection
`flux_edit_image`	Edit existing images with text instructions
`flux_get_task`	Query status of a single generation task
`flux_get_tasks_batch`	Query multiple task statuses at once
`flux_list_models`	List all available Flux models and capabilities
`flux_list_actions`	Show all tools and workflow examples

Available Prompts

Prompt	Description
`flux_image_generation_guide`	Guide for choosing the right tool and model
`flux_prompt_writing_guide`	Best practices for writing effective prompts
`flux_workflow_examples`	Common workflow patterns and examples

Supported Models

Model	Quality	Speed	Size Format	Best For
`flux-dev`	Good	Fast	Pixels (256-1440px)	Quick prototyping
`flux-pro`	High	Medium	Pixels (256-1440px)	Production use
`flux-kontext-pro`	High	Medium	Aspect ratios	Image editing
`flux-kontext-max`	Highest	Slower	Aspect ratios	Complex editing
`flux-2-flex`	High	Fast	Aspect ratios	Flux 2 balanced quality
`flux-2-pro`	Higher	Medium	Aspect ratios	Flux 2 production
`flux-2-max`	Highest	Slower	Aspect ratios	Flux 2 maximum quality
`flux-2-klein`	Good	Fast	Aspect ratios	Flux 2 efficient output

Usage Examples

Generate an Image

Code

"Generate a photorealistic mountain landscape at golden hour"
→ flux_generate_image(prompt="...", model="flux-2-max", size="16:9")

Edit an Image

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

27d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Flux Pro

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-flux-pro": { "command": "uvx", "args": ["mcp-flux-pro"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/mcp-flux-pro?style=directory)](https://allmcps.com/mcp/mcp-flux-pro)

HTML Embed

<a href="https://allmcps.com/mcp/mcp-flux-pro"><img src="https://allmcps.com/api/badge/mcp-flux-pro?style=directory" alt="MCP Flux Pro on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

11/12 checks healthy over the last 45d

52Quality signal: Good · 52/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity5/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 2d ago via OSV.dev · mcp-flux-pro (PyPI)

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to unlock edit access and the Official badge — proof is checked automatically, then reviewed by our team.

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to MCP Flux Pro →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

MCP Flux Pro

MCP server for Flux AI image generation and editing via Ace Data Cloud.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-flux-pro": {
      "command": "uvx",
      "args": [
        "mcp-flux-pro"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (6)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Flux Pro.

flux_generate_image

Generate AI images from a text prompt using Flux.

flux_edit_image

Edit an existing image using Flux with a text prompt.

flux_list_models

List all available Flux models and their capabilities.

flux_list_actions

List all available Flux tools and their use cases.

flux_get_task

Query the status and result of a Flux image generation task.

flux_get_tasks_batch

Query multiple Flux image generation tasks at once.

Documentation Overview

FluxMCP

A Model Context Protocol (MCP) server for AI image generation and editing using Flux through the AceDataCloud platform.

Generate and edit stunning AI images with Flux models (flux-dev, flux-pro, flux-kontext) directly from Claude, Cursor, or any MCP-compatible client.

Features

Image Generation - Generate images from text prompts with 6 Flux models
Image Editing - Edit existing images with context-aware Flux Kontext models
Task Management - Track async generation tasks and batch status queries
Model Guide - Built-in model selection and prompt writing guidance
Dual Transport - stdio (local) and HTTP (remote/cloud) modes
Docker Ready - Containerized with K8s deployment manifests
Secure - Bearer token auth with per-request isolation in HTTP mode

Tool Reference

Tool	Description
`flux_generate_image`	Generate AI images from a text prompt using Flux.
`flux_edit_image`	Edit an existing image using Flux with a text prompt.
`flux_list_models`	List all available Flux models and their capabilities.
`flux_list_actions`	List all available Flux tools and their use cases.
`flux_get_task`	Query the status and result of a Flux image generation task.
`flux_get_tasks_batch`	Query multiple Flux image generation tasks at once.

Quick Start

1. Get Your API Token

Sign up at AceDataCloud Platform
Go to the API documentation page
Click "Acquire" to get your API token
Copy the token for use below

2. Use the Hosted Server (Recommended)

AceDataCloud hosts a managed MCP server — no local installation required.

Endpoint: https://flux.mcp.acedata.cloud/mcp

All requests require a Bearer token. Use the API token from Step 1.

Claude.ai

Connect directly on Claude.ai with OAuth — no API token needed:

Go to Claude.ai Settings → Integrations → Add More
Enter the server URL: https://flux.mcp.acedata.cloud/mcp
Complete the OAuth login flow
Start using the tools in your conversation

Claude Desktop

Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

config.json

{
  "mcpServers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cursor / Windsurf

Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):

config.json

{
  "mcpServers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

VS Code (Copilot)

Add to your VS Code MCP config (.vscode/mcp.json):

config.json

{
  "servers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Or install the Ace Data Cloud MCP extension for VS Code, which registers the hosted MCP servers with one-click setup.

JetBrains IDEs

Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
Click Add → HTTP
Paste:

config.json

{
  "mcpServers": {
    "flux": {
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Claude Code

Claude Code supports MCP servers natively:

Terminal

claude mcp add flux --transport http https://flux.mcp.acedata.cloud/mcp \
  -h "Authorization: Bearer YOUR_API_TOKEN"

Or add to your project's .mcp.json:

config.json

{
  "mcpServers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cline

Add to Cline's MCP settings (.cline/mcp_settings.json):

config.json

{
  "mcpServers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Amazon Q Developer

Add to your MCP configuration:

config.json

{
  "mcpServers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Roo Code

Add to Roo Code MCP settings:

config.json

{
  "mcpServers": {
    "flux": {
      "type": "streamable-http",
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Continue.dev

Add to .continue/config.yaml:

yaml

mcpServers:
  - name: flux
    type: streamable-http
    url: https://flux.mcp.acedata.cloud/mcp
    headers:
      Authorization: "Bearer YOUR_API_TOKEN"

Zed

Add to Zed's settings (~/.config/zed/settings.json):

config.json

{
  "language_models": {
    "mcp_servers": {
      "flux": {
        "url": "https://flux.mcp.acedata.cloud/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_TOKEN"
        }
      }
    }
  }
}

cURL Test

bash

# Health check (no auth required)
curl https://flux.mcp.acedata.cloud/health

# MCP initialize
curl -X POST https://flux.mcp.acedata.cloud/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'

3. Or Run Locally (Alternative)

If you prefer to run the server on your own machine:

server.ts

# Install from PyPI
pip install mcp-flux-pro
# or
uvx mcp-flux-pro

# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"

# Run (stdio mode for Claude Desktop / local clients)
mcp-flux-pro

# Run (HTTP mode for remote access)
mcp-flux-pro --transport http --port 8000

Claude Desktop (Local)

config.json

{
  "mcpServers": {
    "flux": {
      "command": "uvx",
      "args": ["mcp-flux-pro"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_token_here"
      }
    }
  }
}

Docker (Self-Hosting)

Terminal

docker pull ghcr.io/acedatacloud/mcp-flux-pro:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-flux-pro:latest

Clients connect with their own Bearer token — the server extracts the token from each request's Authorization header.

Available Tools

Tool	Description
`flux_generate_image`	Generate images from text prompts with model selection
`flux_edit_image`	Edit existing images with text instructions
`flux_get_task`	Query status of a single generation task
`flux_get_tasks_batch`	Query multiple task statuses at once
`flux_list_models`	List all available Flux models and capabilities
`flux_list_actions`	Show all tools and workflow examples

Available Prompts

Prompt	Description
`flux_image_generation_guide`	Guide for choosing the right tool and model
`flux_prompt_writing_guide`	Best practices for writing effective prompts
`flux_workflow_examples`	Common workflow patterns and examples

Supported Models

Model	Quality	Speed	Size Format	Best For
`flux-dev`	Good	Fast	Pixels (256-1440px)	Quick prototyping
`flux-pro`	High	Medium	Pixels (256-1440px)	Production use
`flux-kontext-pro`	High	Medium	Aspect ratios	Image editing
`flux-kontext-max`	Highest	Slower	Aspect ratios	Complex editing
`flux-2-flex`	High	Fast	Aspect ratios	Flux 2 balanced quality
`flux-2-pro`	Higher	Medium	Aspect ratios	Flux 2 production
`flux-2-max`	Highest	Slower	Aspect ratios	Flux 2 maximum quality
`flux-2-klein`	Good	Fast	Aspect ratios	Flux 2 efficient output

Usage Examples

Generate an Image

Code

"Generate a photorealistic mountain landscape at golden hour"
→ flux_generate_image(prompt="...", model="flux-2-max", size="16:9")

Edit an Image

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

27d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Flux Pro

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-flux-pro": { "command": "uvx", "args": ["mcp-flux-pro"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/mcp-flux-pro?style=directory)](https://allmcps.com/mcp/mcp-flux-pro)

HTML Embed

<a href="https://allmcps.com/mcp/mcp-flux-pro"><img src="https://allmcps.com/api/badge/mcp-flux-pro?style=directory" alt="MCP Flux Pro on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

11/12 checks healthy over the last 45d

52Quality signal: Good · 52/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity5/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 2d ago via OSV.dev · mcp-flux-pro (PyPI)

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to MCP Flux Pro →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients