# mcp-clean-architecture

> mcp-clean-architecture — renaisanci-mcp-clean-architecture. Use this tool when you need to build scalable and maintainable MCP servers and applications in Python, leveraging Clean Architecture and FastMCP for e-commerce operations like product search and cart management. It solves problems of complexity and tight coupling in MCP development, providing a modular interface for inputs like product data and user requests, and outputs like search results and cart updates. Ideal for use cases requiring robust and flexible e-commerce functionality via MCP.

Canonical page: https://skillsregistry.net/skills/renaisanci-mcp-clean-architecture  
JSON: https://api.skillsregistry.net/v1/skills/renaisanci-mcp-clean-architecture

## Description

Enables building maintainable MCP servers and apps in Python using FastMCP and Clean Architecture, providing e-commerce operations like product search and cart management via MCP.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ecommerce
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u96vp9tl4b)
- **Repository:** <https://github.com/renaisanci/mcp-clean-architecture>

## 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": "renaisanci-mcp-clean-architecture"
    }
  }
}
```

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