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MCP Image Generator

@GMKR

リポジトリ

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

GMKR

MCP Image Generator について

MCP Server for Generating images

MCP Image Generator の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

MCP Image Generator のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

1

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.

2

How do I configure the model used for generation?

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

3

What parameters does the `generate_image` tool accept?

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

4

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.

5

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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