Arch-Expert-MCP
Initializes the repository with a professional .gitignore and automates Git setup for the project.
Generates a compilable Java/Spring Boot 3.x project with Maven, H2, and Lombok for DDD and Clean Architecture.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Arch-Expert-MCPScaffold a DDD project for a trading bot in Java."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
đī¸ Arch-Expert-MCP

The Senior Consultant in your IDE.
Arch-Expert-MCP is a professional-grade AI scaffolding agent built on the Model Context Protocol. It bridges the gap between raw project concepts and production-ready repository structures, specifically designed for developers who value Domain-Driven Design (DDD) and Clean Architecture.
đ¯ Core Intent
This tool automates the "Day Zero" friction of project setup, ensuring every new service or experiment starts with the same level of professional rigor a senior lead would provide during a design review.
Solve the "Naming Paradox": Replaces generic identifiers with context-aware, industry-standard names (e.g.,
TransactionOrchestratorinstead ofMyLogic).Architectural Alignment: Forces a choice between Enterprise (DDD/Hexagonal) and Personal (Standard) structures before any code is written.
Bilingual Scaffolding: Automatically generates directory structures and documentation in both English and Chinese.
Automated Governance: Audits existing projects for "leaky abstractions" where infrastructure details bleed into the domain.
Related MCP server: AI Code Toolkit
đ ī¸ Features
Project Scaffolder: Generates a compilable Java/Spring Boot 3.x project with Maven, H2, and Lombok.
Naming Engine: A taxonomic mapping tool that resolves raw concepts into professional identifiers based on their architectural layer.
Structure Verifier: Scans your project to ensure the Domain layer remains pure and free of infrastructure dependencies.
Git Automation: Initializes repository with a professional
.gitignoreand follows Conventional Commits for the initial scaffold.
đ Getting Started
Prerequisites
Node.js v18+
TypeScript
An MCP-compatible client (e.g., Claude Desktop, Cursor)
Installation
Clone the repository:
git clone https://github.com/your-repo/arch-expert-mcp.git
cd arch-expert-mcp
Install dependencies:
npm install
Build the server:
npm run build
Configuration
Add the server to your claude_desktop_config.json:
{
"mcpServers": {
"arch-expert": {
"command": "node",
"args": ["/path/to/arch-expert-mcp/build/server.js"]
}
}
}đ§ Usage Examples
Once connected, you can give your AI commands like:
"I want to build a high-frequency trading bot in Java. Use the arch-expert tool to scaffold a DDD project in my projects folder."
"I'm writing a component for payment processing in the infrastructure layer. Resolve the correct architectural name for me."
"Verify my project structure to ensure I haven't leaked any JPA dependencies into the domain layer."
đēī¸ Roadmap
Phase 1: Foundation & SDK Setup
Phase 2: Java/Spring Boot DDD Blueprinting
Phase 3: Naming Paradox Resolution Engine
Phase 4: Architectural Verification & Git Automation
Phase 5: Multi-language support (Go/Python Blueprints)
This server cannot be deployed
Maintenance
Related MCP Connectors
Design domain models and generate deterministic multi-stack code, driven by your coding agent.
Public agentic AI doctrine tools plus authenticated architecture, design, and spec validators.
AI Agent with Architectural Memory. Impact analysis (free), tests and code from the graph (pro).
Multi-agent AI pipeline that generates professional Solution Architecture Documents.
Related MCP Servers
- -licenseNot gradedqualityNot gradedmaintenanceEnables generation of enterprise-grade software templates with built-in GDPR/Swedish compliance validation, workflow automation for platform migrations, and comprehensive template management through domain-driven design principles.-
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to generate standardized code using scaffolding templates, enforce architectural patterns, and validate outputs programmatically. Supports creating projects from boilerplates and adding features to existing codebases while maintaining team conventions.163AGPL 3.0
- AlicenseBqualityDmaintenanceEnables automatic generation and validation of standardized file names using AI-driven conventions for microservices architecture. Supports multi-language naming with structured components like microservice, layer, domain, and action identifiers.2244 npm2MIT
- FlicenseNot gradedqualityDmaintenanceMulti-stack scaffolding engine for generating production-ready module structures (NestJS, Java Spring, Python FastAPI) directly from an MCP-compatible AI client, reducing token usage for boilerplate code.-