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MCP Image Generator

MCP Image Generator

Local
github.com/GMKRDeveloper Tools4Updated 85w ago

About MCP Image Generator

MCP server for generating images from text prompts through Together AI or Replicate models. It runs locally over stdio or as an SSE endpoint.

Key features

  1. 01Text-to-image generation
  2. 02Together AI and Replicate providers
  3. 03Configurable image dimensions
  4. 04Generate multiple images
  5. 05stdio and SSE transports

Use cases

  1. 01Generate images from prompt text
  2. 02Request images at specified dimensions
  3. 03Connect an MCP client over stdio or SSE

MCP support

Exposes a `generate_image` tool to MCP clients, with prompt, dimensions, and image count parameters. Supports stdio and SSE connections.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"imagegen": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"build"
]
}
}
}
Run commanddocker run -i --rm build

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
ocibuild

Tools

No tool list yet

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 Image Generator

A Model Context Protocol (MCP) server for generating images using Together AI's image generation models. This MCP Server can be run locally or using an SSE endpoint. The MCP Image Generator required a provider, only "Replicate" and "Together" are supported currently. You need to set the TOGETHER_API_KEY or REPLICATE_API_TOKEN environment variables. and set the PROVIDER environment variable to "replicate" or "together"/

SSE Endpoint (Docker environment)

Clone the repository
git clone https://github.com/gmkr/mcp-imagegen.git
cd mcp-imagegen
Build and run Docker container
docker build -f Dockerfile.server -t mcp-imagegen .
docker run -p 3000:3000 mcp-imagegen
Configuring with MCP Client
{
  "mcpServers": {
    "imagegenerator": {
      "url": "http://localhost:3000/sse",
      "env": {
        "PROVIDER": "replicate",
        "REPLICATE_API_TOKEN": "your-replicate-api-token"
      }
    }
  }
}

Adjust the url to the endpoint of the MCP server you want to use. provider can be "replicate" or "together".

Running locally using stdio

Prerequisites
  • Node.js
  • Together AI API key or Replicate API token
Installation
  1. Clone the repository:

    git clone https://github.com/gmkr/mcp-imagegen.git
    cd mcp-imagegen
    
  2. Install dependencies:

    pnpm install
    
Configuration

Create a configuration file for your MCP client. Here's an example configuration:

{
  "mcpServers": {
    "imagegenerator": {
      "command": "pnpx",
      "args": [
        "-y",
        "tsx",
        "/path/to/mcp-imagegen/src/index.ts"
      ],
      "env": {
        "PROVIDER": "replicate",
        "REPLICATE_API_TOKEN": "your-replicate-api-token"
      }
    }
  }
}

Replace /path/to/mcp-imagegen with the absolute path to your cloned repository and your-replicate-api-token with your actual Replicate API token.

Usage

The MCP Image Generator provides a tool called generate_image that can be used to generate images based on text prompts.

Tool: generate_image

Generates an image based on the provided prompt.

Parameters:

  • prompt (string): The text prompt to generate an image for
  • width (number, optional): The width of the image to generate (default: 512)
  • height (number, optional): The height of the image to generate (default: 512)
  • numberOfImages (number, optional): The number of images to generate (default: 1)

Environment Variables

  • PROVIDER: The provider to use for image generation (default: "replicate")
  • REPLICATE_API_TOKEN: Your Replicate API token
  • TOGETHER_API_KEY: Your Together AI API key
  • MODEL_NAME: The model to use for image generation (default: "black-forest-labs/flux-schnell")

License

MIT

Comments

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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.