# architecture-pattern-mcp

> architecture-pattern-mcp — olk-architecture-pattern-mcp. Use this tool when you need to leverage architecture design expertise for AI coding agents, providing guidance on software design patterns and best practices. It solves problems related to code quality, maintainability, and scalability by offering expert advice on system architecture. The tool accepts Git repositories as input and outputs optimized design recommendations, making it ideal for use cases involving complex software development projects.

Canonical page: https://skillsregistry.net/skills/olk-architecture-pattern-mcp  
JSON: https://api.skillsregistry.net/v1/skills/olk-architecture-pattern-mcp

## Description

MCP server that provides architecture design expertise to AI coding agents

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/olk/architecture-pattern-mcp)

## 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": "olk-architecture-pattern-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/olk-architecture-pattern-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/olk-architecture-pattern-mcp/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