MCP Image Generator

@GMKR

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

GMKR

关于 MCP Image Generator

MCP Server for Generating images

MCP Image Generator 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-imagegen": {
      "command": "docker",
      "args": [
        "build",
        "-f",
        "Dockerfile.server",
        "-t",
        "mcp-imagegen",
        "."
      ]
    }
  }
}

MCP Image Generator 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Image Generator?

MCP Image Generator is a Model Context Protocol (MCP) server that generates images using Together AI or Replicate image generation models. It is designed for developers who want to integrate AI image generation into MCP‑compatible applications, and can be run locally via stdio or as an SSE endpoint in Docker.

How to use MCP Image Generator?

Clone the repository, install dependencies with pnpm install, and configure your MCP client with the appropriate provider (replicate or together) and API token. Then invoke the generate_image tool with a text prompt and optional parameters for width, height, and number of images.

Key features of MCP Image Generator

Supports Together AI and Replicate as image generation providers.
Provides a generate_image tool with configurable prompt, width, height, and number of images.
Can run locally via stdio or as an SSE endpoint inside Docker.
Defaults to black-forest-labs/flux-schnell model if not specified.
Works with any MCP client that supports stdio or SSE transports.

Use cases of MCP Image Generator

Generate images dynamically from text prompts in chat applications.
Integrate image creation into AI‑powered content generation pipelines.
Automate image production for prototyping or design workflows.

常见问题

What API keys are required?

You need the `TOGETHER_API_KEY` environment variable for Together AI, or the `REPLICATE_API_TOKEN` for Replicate. Set the `PROVIDER` variable to `replicate` or `together` accordingly.

How do I configure the model used for generation?

Set the `MODEL_NAME` environment variable (default is `black-forest-labs/flux-schnell`).

What parameters does the `generate_image` tool accept?

It accepts `prompt` (required), plus optional `width`, `height` (both default 512), and `numberOfImages` (default 1).

Can I run the server as an SSE endpoint?

Yes. Build the Docker image using the provided `Dockerfile.server` and run it on port 3000. Then configure your MCP client with the SSE URL and environment variables.

What are the transport options?

The server supports stdio (local execution via `pnpx tsx`) and SSE (Dockerized HTTP server). The README only shows these two transports; no authentication is documented beyond API tokens.

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