Skip to main content
Glama
Syndicats

MCP Project Initializer

by Syndicats
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Local

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

  • πŸ€– Conversational Project Setup - Interactive step-by-step project initialization

  • πŸ“‹ AI-Enhanced PRD Generation - Transform basic concepts into comprehensive specifications

  • πŸ”§ Technology-Specific Context - Automatically downloads SDK documentation and best practices

  • πŸ“š Development Rules Integration - Includes coding standards and AI-optimized guidelines

  • 🎯 Context-Based Development - Prepares projects for AI agents to implement with creativity

  • πŸ›‘οΈ 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: πŸš€ Welcome! I'll help you create a new MCP Server project... User: Use set_project_name with "task-manager-mcp" AI: βœ… Great! Project name set to: task-manager-mcp... User: Use set_project_directory with "/Users/yourname/Projects" AI: βœ… Perfect! Project directory set... User: Use set_project_technology with "typescript" AI: βœ… Excellent! Technology set to: typescript... User: Use set_project_description with "Help users manage daily tasks with reminders" AI: βœ… Perfect! Description captured... User: Use setup_project_foundation AI: πŸš€ Setting up project foundation... βœ“ Downloaded essential MCP documentation... User: Use generate_mcp_server AI: πŸŽ‰ Your Project is Ready for AI Implementation!

Project Structure Created

When you run the MCP Project Initializer, it creates:

your-project/ β”œβ”€β”€ README.md # Project overview β”œβ”€β”€ CLAUDE.md # AI development guidance β”œβ”€β”€ IMPLEMENTATION.md # Detailed implementation guide β”œβ”€β”€ PRD.md # Product Requirements Document β”œβ”€β”€ package.json # Dependencies and scripts β”œβ”€β”€ tsconfig.json # TypeScript configuration β”œβ”€β”€ .gitignore # Git ignore rules β”œβ”€β”€ .windsurf/ β”‚ └── rules/ # Development best practices β”‚ β”œβ”€β”€ general.md # General coding standards β”‚ β”œβ”€β”€ typescript.md # TypeScript-specific rules β”‚ └── mcp.md # MCP development patterns β”œβ”€β”€ docs/ β”‚ └── external/ # Downloaded documentation β”‚ β”œβ”€β”€ llms-full.txt # MCP client compatibility β”‚ └── typescript-sdk-README.md # SDK documentation β”œβ”€β”€ 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/ β”œβ”€β”€ src/ β”‚ β”œβ”€β”€ index.ts # MCP server main entry β”‚ β”œβ”€β”€ project-initializer.ts # Core initialization logic β”‚ └── types.ts # TypeScript type definitions β”œβ”€β”€ templates/ β”‚ └── rules/ # Development rule templates β”‚ β”œβ”€β”€ typescript.md # TypeScript best practices β”‚ └── python.md # Python best practices β”œβ”€β”€ 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! πŸš€

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

Resources

New MCP Servers

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Syndicats/mcp-initializer'

If you have feedback or need assistance with the MCP directory API, please join our Discord server