What tools does Ali-Flux MCP Server provide?
It offers `generate_image` (submit a prompt and optional parameters), `check_task_status` (poll for task completion), and `download_image` (save generated images to a local directory).
Ali-Flux MCP Server
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基本信息
关于 Ali-Flux MCP Server
A simple MCP server for generating images using Ali Cloud's DashScope API, with tools for task management and local image saving.
Ali-Flux MCP Server 配置
Ali-Flux MCP Server 工具
3Generate images using Alibaba Cloud DashScope API
Check image generation task status
Download generated images and save them locally
概览
What is Ali-Flux MCP Server?
It is a TypeScript-based Model Context Protocol server that integrates with Alibaba Cloud DashScope API to generate images and save them locally. It is intended for developers using MCP-compatible clients (e.g., Claude Desktop) who need AI image generation capabilities.
How to use Ali-Flux MCP Server?
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.
Key features of Ali-Flux MCP Server
- Provides three tools:
generate_image,check_task_status, anddownload_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
Use cases of Ali-Flux MCP Server
- Generate images from text prompts directly within Claude Desktop
- Automate image creation pipelines with task status polling
- Save generated images to a custom local folder for later use
- Integrate Alibaba Cloud image generation into personal or business workflows
常见问题
What environment variables are required?
You must set `DASHSCOPE_API_KEY`. Optional variables include `SAVE_DIR` (default: `~/Desktop/flux-images`), `MODEL_NAME` (default: `flux-merged`), and `WORK_DIR` (default: current working directory).
How do I debug the server?
Since MCP servers communicate over stdio, use the built-in script `npm run inspector` which launches the MCP Inspector for debugging.
What image parameters can I customize?
When calling `generate_image`, you can specify `size`, `seed`, and `steps` in addition to the required `prompt`.
How are generated images saved?
The `download_image` tool saves all images from a completed task to the directory specified by `SAVE_DIR` or a custom `save_path` (must be absolute). A `base_dir` can be used for resolving relative paths.
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