Payload MCP

🚀 Payload MCP (Model Context Protocol)

Payload MCP (Model Context Protocol) serves as a bridge connecting AI assistants with the Payload CMS development process. It offers a set of standardized tools and interfaces, enabling developers to more efficiently handle tasks such as content modeling, query optimization, and project setup.

🚀 Quick Start

Core Features

1. Content Modeling: Simplify the data model design process by automatically generating Payload Collection configuration files.
2. Query Optimization: Provide real - time GraphQL query validation and formatting tools to ensure best practices are followed.
3. Project Setup: Use a one - click scaffolding tool to quickly generate a fully structured and well - configured Payload project template.

Example Workflow

1. Install and start the MCP server:

   npm start
   

2. Configure the MCP address in your AI assistant (e.g., ChatGPT): http://localhost:3001/
3. Ask the AI to generate a configuration file for a new collection.
4. Use MCP's validation tool to check if the generated code meets the specifications.
5. Integrate the validated configuration file into your Payload project.

✨ Features

1. Content Modeling Tools

• Automatic Collection Generation: Based on requirements, quickly generate complete Payload collection configuration files.
• Field Type Support: Support various common field types, including strings, numbers, booleans, dates, relations, selects, richText, etc.
• Validation and Optimization: Provide real - time feedback to ensure the rationality of field configurations.

2. Query Optimization Tools

• GraphQL Query Generation: Automatically generate efficient GraphQL query statements according to requirements.
• Query Formatting: Automatically align and beautify query code to improve readability.
• Best Practice Recommendations: Provide usage suggestions for operations such as pagination, sorting, and filtering.

3. Project Setup Tools

• One - Click Scaffolding: Quickly generate a Payload project template with basic configuration files and directory structures.
• Environment Variable Management: Automatically create the .env file and provide examples of common environment variables.
• Development Environment Setup: Integrate common development dependencies, such as payload-cli, typescript, and eslint.

4. Validation Tools

• Configuration File Validation: Check syntax and semantic errors in Payload configuration files.
• Query Validity Check: Ensure that GraphQL queries conform to the expected data model.
• Code Style Check: Follow the team or project's coding style guidelines and provide improvement suggestions.

📦 Installation

Prerequisites

• Node.js version >= 14.0
• npm or yarn package manager

Installation Steps

1. Clone the repository:

   git clone [repository URL]
   cd payload-mcp
   

2. Install dependencies:

   npm install
   # or
   yarn install
   

3. Start the development server:

   npm start
   # or
   yarn dev
   

💻 Usage Examples

Basic Usage

Example 1: Generate a Collection Configuration File

// Input description:
/*
{
  "name": "Product",
  "description": "Manage product data",
  "fields": {
    "title": { "type": "string", "required": true },
    "price": { "type": "number", "default": 0 },
    "category": { "type": "select", "options": ["Electronics", "Clothing", "Books"] }
  }
}
*/

// Automatically generated collection configuration file:
export interface Product {
  title: string;
  price: number;
  category?: 'Electronics' | 'Clothing' | 'Books';
}

export const productCollection = {
  name: 'products',
  label: 'Product',
  fields: [
    { name: 'title', type: 'string', required: true },
    { name: 'price', type: 'number', default: 0 },
    {
      name: 'category',
      type: 'select',
      options: ['Electronics', 'Clothing', 'Books']
    }
  ]
};

Example 2: Generate a GraphQL Query

// Input query description:
/*
{
  "operation": "query",
  "description": "Get all products and their categories",
  "args": {
    "first": 10,
    "after": null,
    "filter": { "category": "Electronics" }
  }
}
*/

// Automatically generated GraphQL query:
query Products($first: Int!, $after: String, $filter: FilterInput) {
  products(first: $first, after: $after, filter: $filter) {
    edges {
      node {
        title
        price
        category
      }
    }
    pageInfo {
      hasNextPage
      hasPreviousPage
    }
  }
}

📚 Documentation

Project Metadata

{
  "name": "payload-mcp",
  "version": "0.1.0",
  "description": "AI - assisted Payload CMS development toolchain"
}

Server Configuration

// config/server.ts
export const serverConfig = {
  port: 3001, // Default port
  host: 'localhost', // Listening address
  name: 'payload-mcp' // Server identifier
};

🔧 Technical Details

• Project Status:
  • Version: 0.1.0
  • Author: [Your Name or Team]
  • License: MIT License
  • Build System: Built with TypeScript and Node.js

📄 License

This project is licensed under the MIT License.

🌟 Future Development

• Support for More Field Types: Expand support for complex fields (e.g., richText, relationship).
• Integration of Machine Learning Models: Utilize AI technology to optimize query performance and content modeling processes.
• Provision of a Visual Interface: Develop a graphical user interface for easier interaction between developers and the tool.

🤝 Contribution Guidelines

1. Submit issues or suggestions to GitHub Repository.
2. Create a feature branch and submit a Pull Request.
3. Follow the project's contribution guidelines and code style guides.

🛠️ Support

• Developer Community: Join the Discord Group
• Email Support: Contact the Maintainer
• Documentation Repository: View the Complete Documentation Set

Thank you for using Payload MCP! We hope it will bring convenience and efficiency to your development work.