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mcp-image-generator
by GMKR

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".

Related MCP server: pixel-surgeon-mcp

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

Available Tools

1 tool
generate_imageA

Generates and returns an image based on the provided promptUse this tool when you need to generate an image based on a promptThe image will be returned as a base64 encoded string

Inputs: prompt (required), width, height, numberOfImages.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.6/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'generate_image' has a clear and distinct purpose that cannot be confused with any other tool in this set.

    Naming Consistency5/5

    The single tool name 'generate_image' follows a clear verb_noun pattern. Since there is only one tool, naming consistency is inherently perfect with no deviations or mixed conventions to evaluate.

    Tool Count2/5

    A single tool is too few for a server named 'mcp-image-generator', which suggests a broader scope for image generation tasks. While the tool covers basic generation, the count feels thin and lacks operations like editing, upscaling, or managing generated images that might be expected.

    Completeness2/5

    The tool set is severely incomplete for an image generation domain. It only provides generation, with no coverage for common operations like editing images, adjusting parameters, retrieving generation history, or handling different formats, which will limit agent capabilities and cause workarounds.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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