I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

servidor de mCP de reclecho
Implementación del servidor MCP para recrefic.ai utilizando el modelo de contexto del modelo SDK
3 years
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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
-
Clone the repository:
git clone https://github.com/yourusername/recraft-mcp-server.git cd recraft-mcp-server
-
Install dependencies:
npm install
-
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
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