io.github.AceDataCloud/mcp-flux-pro
MCP server for Flux AI image generation
Open source Repository Open in the app JSON README (API)
About
MCP server for Flux AI image generation
Details
- Kind
- MCP servers
- Topic
- AI, RAG & memory
- Publisher
- acedatacloud
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 2026.8.28.0
- Stars
- 3
- Forks
- 1
- Open pull requests
- 8
- Last push
- 2026-08-28T10:41:05Z
- Repository state
- ativo
- Language
- Python
- License
- MIT
- Added
- 2026-08-29 03:01:39
- Updated
- 2026-08-29 03:01:39
- Origin id
io.github.AceDataCloud/mcp-flux-pro
README
# FluxMCP
<!-- mcp-name: io.github.AceDataCloud/mcp-flux-pro -->
[](https://pypi.org/project/mcp-flux-pro/)
[](https://pypi.org/project/mcp-flux-pro/)
[](https://github.com/AceDataCloud/FluxMCP/actions/workflows/ci.yaml)
[](https://opensource.org/licenses/MIT)
[](https://modelcontextprotocol.io)
[](https://www.python.org/downloads/)
A [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server for AI image generation and editing using [Flux](https://platform.acedata.cloud) through the [AceDataCloud](https://platform.acedata.cloud) 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
1. Sign up at [AceDataCloud Platform](https://platform.acedata.cloud)
2. Go to the [API documentation page](https://platform.acedata.cloud)
3. Click **"Acquire"** to get your API token
4. 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](https://claude.ai) with OAuth — **no API token needed**:
1. Go to Claude.ai **Settings → Integrations → Add More**
2. Enter the server URL: `https://flux.mcp.acedata.cloud/mcp`
3. Complete the OAuth login flow
4. Start using the tools in your conversation
#### Claude Desktop
Add to your config (`~/Library/Application Support/Claude/claude_desktop_config.json` on macOS):
```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`):
```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`):
```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](https://marketplace.visualstudio.com/items?itemName=acedatacloud.acedatacloud-mcp) for VS Code, which registers the hosted MCP servers with one-click setup.
#### JetBrains IDEs
1. Go to **Settings → Tools → AI Assistant → Model Context Protocol (MCP)**
2. Click **Add** → **HTTP**
3. Paste:
```json
{
"mcpServers": {
"flux": {
"url": "https://flux.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
```
#### Claude Code
Claude Code supports MCP servers natively:
```bash
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`:
```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`):
```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:
```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:
```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`):
```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:
```bash
# 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)
```json
{
"mcpServers": {
"flux": {
"command": "uvx",
"args": ["mcp-flux-pro"],
"env": {
"ACEDATACLOUD_API_TOKEN": "your_token_here"
}
}
}
}
```
#### Docker (Self-Hosting)
```bash
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
```
"Generate a photorealistic mountain landscape at golden hour"
→ flux_generate_image(prompt="...", model="flux-2-max", size="16:9")
```
### Edit an Image
```
"Add sunglasses to the person in this photo"
→ flux_edit_image(prompt="Add sunglasses", image_url="https://...", size="1:1", model="flux-kontext-pro")
```
### Check Task Status
```
"What's the status of my generation?"
→ flux_get_task(task_id="...")
```
## Environment Variables
| Variable | Required | Default | Description |
| --------------------------- | ----------- | --------------------------- | --------------------------- |
| `ACEDATACLOUD_API_TOKEN` | Yes (stdio) | — | API token from AceDataCloud |
| `ACEDATACLOUD_API_BASE_URL` | No | `https://api.acedata.cloud` | API base URL |
| `ACEDATACLOUD_OAUTH_CLIENT_ID` | No | — | OAuth client ID (hosted mode) |
| `ACEDATACLOUD_PLATFORM_BASE_URL` | No | `https://platform.acedata.cloud` | Platform base URL |
| `FLUX_REQUEST_TIMEOUT` | No | `1800` | Request timeout in seconds |
| `MCP_SERVER_NAME` | No | `flux` | MCP server name |
| `LOG_LEVEL` | No | `INFO` | Logging level |
## Development
### Setup
```bash
git clone https://github.com/AceDataCloud/FluxMCP.git
cd FluxMCP
pip install -e ".[all]"
cp .env.example .env
# Edit .env with your API token
```
### Lint & Format
```bash
ruff check .
ruff format .
mypy core tools main.py
```
### Test
```bash
# Unit tests
pytest --cov=core --cov=tools
# Skip integration tests
pytest -m "not integration"
# With coverage report
pytest --cov=core --cov=tools --cov-report=html
```
### Git Hooks
```bash
git config core.hooksPath .githooks
```
## API Reference
This MCP server uses the [AceDataCloud Flux API](https://platform.acedata.cloud):
- **POST /flux/images** — Generate or edit images
- **POST /flux/tasks** — Query task status (single or batch)
Full API documentation: [platform.acedata.cloud](https://platform.acedata.cloud)
## Documentation
<!-- canonical-documentation -->
[Documentation](https://platform.acedata.cloud/documents/flux-mcp)
## License
MIT License — see [LICENSE](LICENSE) for details.
## Links
- [AceDataCloud Platform](https://platform.acedata.cloud)
- [MCP Protocol](https://modelcontextprotocol.io/)
- [Flux by Black Forest Labs](https://blackforestlabs.ai/)
- [PyPI Package](https://pypi.org/project/mcp-flux-pro/)