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MCP Server

Image Generation MCP Server

Enables users to generate images from text prompts using Replicate's model, with configurable parameters and full MCP protocol compliance.

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11/17/2025
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README Documentation

Image Generation MCP Server

An MCP (Model Context Protocol) server implementation for generating images using Replicate's black-forest-labs/flux-schnell model.

Ideally to be used with Cursor's MCP feature, but can be used with any MCP client.

Features

  • Generate images from text prompts
  • Configurable image parameters (resolution, aspect ratio, quality)
  • Save generated images to specified directory
  • Full MCP protocol compliance
  • Error handling and validation

Prerequisites

  • Node.js 16+
  • Replicate API token
  • TypeScript SDK for MCP

Setup

  1. Clone the repository

  2. Install dependencies:

    npm install
    
  3. Add your Replicate API token directly in the code at src/imageService.ts by updating the apiToken constant:

    // No environment variables are used since they can't be easily set in cursor
    const apiToken = "your-replicate-api-token-here";
    

    Note: If using with Claude, you can create a .env file in the root directory and set your API token there:

    REPLICATE_API_TOKEN=your-replicate-api-token-here
    

    Then build the project:

    npm run build
    

Usage

To use with cursor:

  1. Go to Settings
  2. Select Features
  3. Scroll down to "MCP Servers"
  4. Click "Add new MCP Server"
  5. Set Type to "Command"
  6. Set Command to: node ./path/to/dist/server.js

API Parameters

ParameterTypeRequiredDefaultDescription
promptstringYes-Text prompt for image generation
output_dirstringYes-Server directory path to save generated images
go_fastbooleanNofalseEnable faster generation mode
megapixelsstringNo"1"Resolution quality ("1", "2", "4")
num_outputsnumberNo1Number of images to generate (1-4)
aspect_ratiostringNo"1:1"Aspect ratio ("1:1", "4:3", "16:9")
output_formatstringNo"webp"Image format ("webp", "png", "jpeg")
output_qualitynumberNo80Compression quality (1-100)
num_inference_stepsnumberNo4Number of denoising steps (4-20)

Example Request

{
  "prompt": "black forest gateau cake spelling out 'FLUX SCHNELL'",
  "output_dir": "/var/output/images",
  "filename": "black_forest_cake",
  "output_format": "webp"
  "go_fast": true,
  "megapixels": "1",
  "num_outputs": 2,
  "aspect_ratio": "1:1"
}

Example Response

{
  "image_paths": [
    "/var/output/images/output_0.webp",
    "/var/output/images/output_1.webp"
  ],
  "metadata": {
    "model": "black-forest-labs/flux-schnell",
    "inference_time_ms": 2847
  }
}

Error Handling

The server handles the following error types:

  • Validation errors (invalid parameters)
  • API errors (Replicate API issues)
  • Server errors (filesystem, permissions)
  • Unknown errors (unexpected issues)

Each error response includes:

  • Error code
  • Human-readable message
  • Detailed error information

License

ISC

Quick Actions

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Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source

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