Can I use this for Model Context Protocol (MCP) development?

Yes, it includes specific boilerplate and patterns for building MCP servers, making it easy to create tools and resources for AI systems.

Does it support asynchronous programming?

Yes, it prioritizes asyncio for I/O-bound operations and provide patterns for concurrent operations using asyncio.gather and aiohttp.

Does this skill support older Python versions?

This skill is specifically optimized for Python 3.11 and newer to leverage modern features like improved type hinting, performance, and the latest library support.

What tools are used for code quality?

The skill promotes the use of Ruff for linting, Black for formatting, and mypy for static type checking to maintain a clean and professional codebase.

How does it handle data validation?

It utilizes Pydantic for robust type validation and configuration management, ensuring data integrity and allowing for easy conversion between camelCase and snake_case.

Python SDK & MCP Architecture

Name: Python SDK & MCP Architecture
Author: violetio

byvioletio

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API 개발

Enforces modern Python 3.11+ conventions and architectural patterns for building robust SDKs and Model Context Protocol (MCP) servers.

소개

This skill equips Claude with standardized Python development practices optimized for modern backend engineering and AI tool development. It focuses on high-performance asynchronous programming, strict type safety using Pydantic, and scalable project structures. Whether building a complex API, a specialized SDK, or a Model Context Protocol (MCP) server, this skill ensures consistent implementation of logging, error handling, and testing strategies to produce production-grade, maintainable code that follows industry-standard linting and formatting rules.

주요 기능

Strict type validation and data modeling with Pydantic
Comprehensive testing, linting, and formatting configurations
Built-in Model Context Protocol (MCP) server implementation patterns
1 GitHub stars
Asynchronous I/O patterns using asyncio and aiohttp
Standardized Python 3.11+ project scaffolding and structure

사용 사례

Architecting scalable FastAPI or Flask backend services with async capabilities
Building high-performance Model Context Protocol (MCP) servers for AI agents
Developing robust Python SDKs with strict type safety and error handling

소개

주요 기능

Strict type validation and data modeling with Pydantic
Comprehensive testing, linting, and formatting configurations
Built-in Model Context Protocol (MCP) server implementation patterns
1 GitHub stars
Asynchronous I/O patterns using asyncio and aiohttp
Standardized Python 3.11+ project scaffolding and structure

사용 사례

Architecting scalable FastAPI or Flask backend services with async capabilities
Building high-performance Model Context Protocol (MCP) servers for AI agents
Developing robust Python SDKs with strict type safety and error handling