Ali-Flux MCP Server
About
A simple MCP server for generating images using Ali Cloud's DashScope API, with tools for task management and local image saving.
Details
- Author
- echozyr2001
- Downloads
- 140
- Categories
- Other
Jump to
- Provides three tools: generate_image, check_task_status, and download_image
- Generates images via Alibaba Cloud DashScope API using text prompts
- Supports optional image parameters: size, seed, and steps
- Checks task status and downloads generated images to local storage
- Configurable save directory and model name via environment variables
Install dependencies with npm install, build the server with npm run build, and set the required environment variables (DASHSCOPE_API_KEY, optionally SAVE_DIR, MODEL_NAME, WORK_DIR). Then configure your MCP client (e.g., Claude Desktop) using the command and env fields as shown in the README.
Ali-Flux MCP Server
A Model Context Protocol server for Alibaba Cloud DashScope API
This is a TypeScript-based MCP server that provides functionality to interact with Alibaba Cloud DashScope API for generating images and saving them locally. It demonstrates core MCP concepts by providing:
- Tools for generating images using Alibaba Cloud DashScope API
- Tools for checking task status
- Tools for downloading generated images and saving them locally
Features
Tools
-generate_image - Generate images using Alibaba Cloud DashScope API
- Takes prompt as required parameter
- Optional parameters: size, seed, steps
- Submits image generation task to DashScope API
- check_task_status - Check image generation task status
- Takes task_id as required parameter
- Returns the current status of the image generation task
- download_image - Download generated images and save them locally
- Takes task_id as required parameter
- Optional parameter: save_path for custom save location (must be an absolute path)
- Optional parameter: base_dir for resolving relative paths (defaults to WORK_DIR environment variable)
- Downloads all generated images and saves them to the specified directory
Development
Prerequisites
- Node.js and npm - Alibaba Cloud DashScope API keyEnvironment Variables
-DASHSCOPE_API_KEY: Your Alibaba Cloud DashScope API key
- SAVE_DIR: Directory to save generated images (default: ~/Desktop/flux-images)
- MODEL_NAME: DashScope model name (default: flux-merged)
- WORK_DIR: Work directory (default: process.cwd())
Setup
Install dependencies:npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Installation
Configuration
To use with Claude Desktop or other MCP-compatible clients, add the server config:On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"ali-flux": {
"command": "/path/to/ali-flux/build/index.js",
"env": {
"DASHSCOPE_API_KEY": "your-api-key-here",
"SAVE_DIR": "/custom/save/path" // Optional
}
}
}
}
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.



