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@iflow-mcp/bartwaardenburg-recraft-mcp-server

v0.0.3

Published

MCP Server implementation for recraft.ai using the Model Context Protocol SDK

Downloads

51

Readme

Recraft MCP Server

A Model Context Protocol (MCP) server implementation for integrating with Recraft.ai services. This server enables AI assistants to generate images through Recraft's API using the MCP framework.

🌟 Features

  • Implements MCP tools for Recraft image generation services
  • Provides type-safe schemas using Zod for validation
  • Supports various image generation options (styles, sizes, etc.)
  • Easy integration with LLM assistants that support MCP

📋 Prerequisites

  • Node.js (v18 or later recommended)
  • A Recraft API key from recraft.ai

🚀 Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/recraft-mcp-server.git
    cd recraft-mcp-server
  2. Install dependencies:

    npm install
  3. Copy the environment file and configure your API key:

    cp .env.example .env

    Then edit .env and add your Recraft API key.

⚙️ Configuration

The server uses the following environment variables:

  • RECRAFT_API_URL: The Recraft API endpoint (default: https://external.api.recraft.ai)
  • RECRAFT_API_KEY: Your Recraft API key

🔧 Usage

Building the Server

npm run build

Starting the Server

npm start

Or use the provided shell script:

./start-mcp.sh

Development Mode

npm run dev

Inspecting the MCP Server

The MCP SDK includes an inspector tool to test the server:

npm run inspect

🧪 Testing

Run tests:

npm test

Run tests with coverage:

npm run test:coverage

Watch mode for tests:

npm run test:watch

🔍 Validation

The project uses Zod for schema validation. See ZOD_IMPLEMENTATION.md for details on the implementation.

📝 API

This server implements the following MCP tools:

  • generate_image: Generate images from text prompts
  • image_to_image: Transform an existing image based on a text prompt
  • inpaint_image: Edit parts of an image using a mask
  • replace_background: Replace the background of an image
  • vectorize_image: Convert raster images to vector format
  • remove_background: Remove the background from an image
  • crisp_upscale: Upscale images with enhanced detail and clarity
  • creative_upscale: Upscale images with creative enhancements
  • create_style: Create a new style based on reference images
  • get_user_info: Retrieve information about the current user
  • save_image_to_disk: Save generated images to the local filesystem

The server also responds to a special help command which provides general information about the available tools, but this is handled as a special case in the server logic rather than as a formal tool definition.

For detailed information about the available parameters and options for each tool, use the MCP inspector tool or review the tool definitions in the code.

🛠️ Development

Linting and Type Checking

# Run type checking
npm run type-check

# Run eslint
npm run lint

# Fix linting issues
npm run lint:fix

# Run both type checking and linting
npm run validate

📄 License

MIT