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MCP Image Generator

@GMKR

Repository

Basic information

Category

Developer Tools

Transports

stdio

Author

GMKR

About MCP Image Generator

MCP Server for Generating images

MCP Image Generator config

Add this server to your MCP-compatible client using the configuration below.

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

MCP Image Generator tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

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.

Comments

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