MCP Project Initializer Server

Mengotomatiskan pengaturan proyek pengembangan server MCP bertenaga AI yang baru.

GitHub
3

Dokumentasi

MCP Project Initializer

An intelligent MCP (Model Context Protocol) server that automates the setup of new AI-powered MCP server development projects. This tool acts as a conversational guide through any standard MCP client to set up projects with necessary context, rules, and documentation for AI-assisted development.

Features

  • 🤖 Conversational Project Setup - Interactive step-by-step project initialization
  • 📋 AI-Enhanced PRD Generation - Transform basic concepts into comprehensive specifications
  • 🔧 Technology-Specific Context - Automatically downloads SDK documentation and best practices
  • 📚 Development Rules Integration - Includes coding standards and AI-optimized guidelines
  • 🎯 Context-Based Development - Prepares projects for AI agents to implement with creativity
  • 🛡️ MCP Protocol Compliant - Full compatibility with MCP clients and standards

Quick Start

Installation

# Clone the repository
git clone <repository-url>
cd mcp-initializer

# Install dependencies
npm install

# Build the project
npm run build

Using with MCP Clients

Windsurf IDE Configuration

Add this server to your Windsurf MCP settings:

{
  "mcpServers": {
    "mcp-project-initializer": {
      "command": "node",
      "args": ["/path/to/mcp-initializer/build/index.js"],
      "description": "AI-powered project initialization server"
    }
  }
}

Generic MCP Client Configuration

For any MCP client that supports STDIO transport:

{
  "name": "mcp-project-initializer",
  "command": "node",
  "args": ["/path/to/mcp-initializer/build/index.js"],
  "transport": "stdio"
}

Usage

Starting a New Project

  1. Start the conversation: Use the start_mcp_project tool
  2. Set project name: Use set_project_name with your desired project name
  3. Choose directory: Use set_project_directory with an absolute path
  4. Select technology: Use set_project_technology (typescript or python)
  5. Provide concept: Use set_project_description with a high-level overview
  6. Add documentation (optional): Use add_project_documentation for additional context
  7. Setup foundation: Use setup_project_foundation to create the project structure
  8. Generate context: Use generate_mcp_server to prepare for AI implementation

Example Conversation Flow

User: Use start_mcp_project
AI: 🚀 Welcome! I'll help you create a new MCP Server project...

User: Use set_project_name with "task-manager-mcp"
AI: ✅ Great! Project name set to: task-manager-mcp...

User: Use set_project_directory with "/Users/yourname/Projects"
AI: ✅ Perfect! Project directory set...

User: Use set_project_technology with "typescript"
AI: ✅ Excellent! Technology set to: typescript...

User: Use set_project_description with "Help users manage daily tasks with reminders"
AI: ✅ Perfect! Description captured...

User: Use setup_project_foundation
AI: 🚀 Setting up project foundation... ✓ Downloaded essential MCP documentation...

User: Use generate_mcp_server
AI: 🎉 Your Project is Ready for AI Implementation!

Project Structure Created

When you run the MCP Project Initializer, it creates:

your-project/
├── README.md                    # Project overview
├── CLAUDE.md                    # AI development guidance
├── IMPLEMENTATION.md            # Detailed implementation guide
├── PRD.md                       # Product Requirements Document
├── package.json                 # Dependencies and scripts
├── tsconfig.json               # TypeScript configuration
├── .gitignore                  # Git ignore rules
├── .windsurf/
│   └── rules/                  # Development best practices
│       ├── general.md          # General coding standards
│       ├── typescript.md       # TypeScript-specific rules
│       └── mcp.md             # MCP development patterns
├── docs/
│   └── external/               # Downloaded documentation
│       ├── llms-full.txt       # MCP client compatibility
│       └── typescript-sdk-README.md  # SDK documentation
├── src/                        # Source code directory
└── tests/                      # Test directory

Key Features

AI-Enhanced Development

  • Context-Rich Setup: Downloads essential MCP documentation automatically
  • Best Practices Integration: Includes technology-specific coding standards
  • PRD Enhancement: AI agents expand basic concepts into detailed specifications
  • Step-by-Step Guidance: Clear implementation instructions for AI agents

Technology Support

  • TypeScript: Full Node.js MCP server setup with ES modules
  • Python: Complete Python MCP server configuration
  • Extensible: Easy to add support for additional technologies

MCP Protocol Compliance

  • Tools-Only Design: No prompts - fully compatible with tools-only clients
  • Conversational State: Maintains conversation flow across tool calls
  • Error Handling: Comprehensive validation and user guidance
  • Standard Transport: Uses STDIO for maximum compatibility

Development

Building from Source

# Install dependencies
npm install

# Build the project
npm run build

# Run in development mode
npm run dev

# Type checking
npm run typecheck

# Linting
npm run lint

Project Structure

mcp-initializer/
├── src/
│   ├── index.ts                # MCP server main entry
│   ├── project-initializer.ts  # Core initialization logic
│   └── types.ts               # TypeScript type definitions
├── templates/
│   └── rules/                 # Development rule templates
│       ├── typescript.md      # TypeScript best practices
│       └── python.md         # Python best practices
├── build/                     # Compiled output
└── docs/                      # Project documentation

Requirements

  • Node.js: >= 18.0.0
  • MCP Client: Any MCP-compatible client (Windsurf, Claude Desktop, etc.)
  • Operating System: macOS, Linux, Windows

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes following the coding standards
  4. Test with a real MCP client
  5. Submit a pull request

License

MIT License - see LICENSE file for details.

Support

For issues and questions:

  • Check the documentation in /docs
  • Review the generated IMPLEMENTATION.md for guidance
  • Open an issue on the project repository

Ready to create AI-powered projects? Configure this MCP server in your client and start building! 🚀