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).
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基本信息
A simple MCP server for generating images using Ali Cloud's DashScope API, with tools for task management and local image saving.
Generate images using Alibaba Cloud DashScope API
Check image generation task status
Download generated images and save them locally
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.
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.
generate_image, check_task_status, and download_imageIt 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).
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).
Since MCP servers communicate over stdio, use the built-in script `npm run inspector` which launches the MCP Inspector for debugging.
When calling `generate_image`, you can specify `size`, `seed`, and `steps` in addition to the required `prompt`.
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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