# Intelligent Architecture Recommendation Engine

> Use this tool when you need to design a scalable and reliable system architecture, as it generates tailored recommendations based on business parameters like QPS, concurrent users, and database type, providing optimal resource allocation and exportable diagrams. It solves infrastructure planning problems by automating the process of selecting suitable middleware combinations and deployment strategies. Input your business requirements and receive a customized system architecture design with minimal effort.

Canonical page: https://skillsregistry.net/skills/deeppath-ai-mcp-system-infra  
JSON: https://api.skillsregistry.net/v1/skills/deeppath-ai-mcp-system-infra

## Description

Generate tailored system architecture recommendations based on your business parameters such as QPS, concurrent users, database type, and AI model size. Automatically receive optimal resource allocation, middleware combinations, deployment strategies, and exportable architecture diagrams. Simplify infrastructure planning and ensure scalable, reliable system design with minimal effort.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/deeppath-ai/mcp-system-infra)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "deeppath-ai-mcp-system-infra"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deeppath-ai-mcp-system-infra` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deeppath-ai-mcp-system-infra/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt