How do I integrate the generated server with Claude?

The skill provides a JSON configuration snippet that you can copy into your claude_desktop_config.json file to instantly link your new server to Claude.

Why does this skill use TaskGroup instead of gather?

Python 3.13 and modern async practices prefer asyncio.TaskGroup() because it provides better error handling and ensures that all tasks are cleaned up properly if one fails.

Can I use this for production MCP servers?

Absolutely. The patterns provided follow official Model Context Protocol specifications and include robust error handling and project structuring suitable for production environments.

Does this support Pydantic v2?

Yes, the scaffolding is designed to work with Pydantic v2 for high-performance data validation and automatic JSON schema generation for MCP tools.

Python 3.13 MCP Server Scaffolding

Name: Python 3.13 MCP Server Scaffolding
Author: Agentient

byAgentient

0•

API Development

Generates high-performance Model Context Protocol (MCP) server boilerplate optimized for Python 3.13 and modern asyncio patterns.

This skill streamlines the creation of Model Context Protocol (MCP) servers by providing standardized scaffolding and modern Python 3.13 implementation patterns. It enforces the use of asyncio.TaskGroup() for superior concurrent task management, integrates Pydantic for robust schema validation, and implements asynchronous file and resource handling. It is designed for developers building tools that connect LLMs to local data, databases, or APIs while adhering to the latest Python concurrency best practices and MCP specifications.

Key Features

01Automated Python 3.13 asyncio.TaskGroup implementation for robust concurrency

02Standardized MCP server project structure with modular tool and resource directories

030 GitHub stars

04Pre-configured Claude Desktop integration snippets and pyproject.toml templates

05Asynchronous file I/O boilerplate using aiofiles for non-blocking operations

06Integrated Pydantic validation for tool input schemas and strict error handling

Use Cases

01Refactoring legacy async servers to utilize Python 3.13 modern concurrency patterns

02Bootstrapping a new Python-based MCP server from scratch with best-practice architecture

03Building secure, schema-validated tool-calling interfaces for Claude Desktop extensions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agentient/vibekit mcp-server-scaffolding-asyncio

For use in Claude.ai and ChatGPT

Download Skill