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Intelligent Architecture Recommendation Engine

by deeppath-ai
README.md3.45 kB
<div align="center"> # mcp-system-infra </div> # 🚀 Intelligent Architecture Recommendation Engine: Tailored for Your System In today's rapidly evolving digital landscape, how can you quickly and efficiently build a scalable and reliable technical infrastructure? The **Intelligent Architecture Recommendation Engine** is here to solve that challenge. Based on key parameters—QPS (queries per second), concurrent users, daily active users, business type, database choice, and AI model size—this tool automatically generates: - 💡 Optimal server resource allocation - 🧩 Required middleware module combinations - 🏗️ Recommended overall system architecture - ☁️ Suggested cloud providers and deployment strategies - 📊 One-click export of Markdown report + architecture diagram --- ## ✨ Key Benefits ### ✅ Fully Parameter-Driven, Business-Oriented Simply provide the following parameters: - `--qps`: Peak request throughput - `--concurrentUsers`: Number of concurrent connections - `--uad`: Daily Active Users (UAD) - `--type`: Business type (`web` / `ai`) - `--db`: Database type (`relational` / `nosql` / `analytics`) - `--model`: AI model size (`small` / `medium` / `large`) The system will automatically assess and recommend: - CPU / Memory / Network configuration - Redis cache capacity and eviction strategy - Message queue type and concurrency handling - Whether to adopt a microservices architecture - Whether to enable distributed architecture and GPU inference clusters --- ## 🗺️ Architecture Recommendation Diagram The system automatically generates a Mermaid diagram to clearly represent component relationships: ```mermaid flowchart TD User[User Request] --> Nginx[Nginx Load Balancer] Nginx --> Service[Main Business Service Node] Service --> DB[Database] Service --> Redis[Redis Cache] Service --> MQ[Message Queue] Service --> GPU[AI Inference GPU Node] MQ --> Consumer[Asynchronous Consumer] ``` # ## <div align="center">▶️ Quick Start</div> ### CLI ~~~bash npx -y mcp-system-infra ~~~ ### MCP Server Configuration ~~~json { "mcpServers": { "mcp-system-infra": { "command": "npx", "args": [ "-y", "mcp-system-infra" ] } } } ~~~ ## MCP Example: Please help design a web-based system architecture report with the following specifications: - QPS (Queries Per Second): 100 - Concurrent Users: 50 - Daily Active Users: 300 - Database Type: Relational - Model Size: Medium --- ## <div align="center">💭 Murmurs</div> This project is for educational and internal use only. Contributions and feedback are welcome. For feature customization, web deployment, or enterprise integration, please contact the project maintainer. <div align="center"><h1>Contact</h1></div> <img width="380" height="200" src="./doc/dpai.jpg" alt="mcp-system-infra MCP server" /> ## Business Contact Email: [deeppathai@outlook.com](mailto:deeppathai@outlook.com) --- ## 🧠 MCP Access Addresses - 🌐 [ModelScope MCP Address](https://modelscope.cn/mcp/servers/deeppathai/mcp-system-infra) For testing and integrating `mcp-system-infra` directly within the ModelScope platform. - 🛠️ [Smithery.ai MCP Address](https://smithery.ai/server/@deeppath-ai/mcp-system-infra) For visual configuration and invocation of the `mcp-system-infra` service via Smithery.

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