About Image Server
An MCP server that creates images from English descriptions and saves them locally. It is for users who need generated illustrations to accompany written content; the README notes that its IMAGE_API is for demonstration and has usage limits.
Key features
- 01Generate images from English descriptions
- 02Save generated images locally
Use cases
- 01Create an image to accompany an article
- 02Save generated illustrations on a local machine
MCP support
Exposes an image_generation tool to MCP clients for generating and locally saving images.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README

MCP工具
Tools
- image_generation 根據英文描述生成具備文章意境的圖片,並將圖片儲存至本地。
前置需求
安裝UV套件管理器 uv
設定MCP Server
請注意此IMAGE_API僅供示範使用,存在使用限制。
{
"mcpServers":{
"image_server": {
"command": "uv",
"args": [
"--directory",
"YourDirectory",
"run",
"image_server.py"
],
"env": {
"IMAGE_API_URL": "https://black-forest-labs-flux-1-schnell.hf.space/call/infer"
}
}
}
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.