python-mcp-server-generator

Generate a complete Python MCP server project with uv and MCP SDK.

14|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/tae0y/python-project-template --skill python-mcp-server-generator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-mcp-server-generator
Source: https://github.com/tae0y/python-project-template/tree/main/.claude/skills.nouse/python-mcp-server-generator
Command: npx skills add https://github.com/tae0y/python-project-template --skill python-mcp-server-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate a complete MCP server project in Python with tooling, resources, and proper configuration. Use when scaffolding a new MCP server from scratch.

Core Features & Use Cases

  • Project setup with uv init and MCP SDK integration
  • Type-safe tooling with @mcp.tool() decorators and Pydantic models
  • Transport options: stdio for local development or streamable-http for remote usage
  • Comprehensive documentation and ready-to-run structure

Quick Start

Initialize a new MCP server project with uv init, add the MCP CLI dependency, create the main server file, and run it locally using stdio for testing.

Frequently Asked Questions about python-mcp-server-generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scaffold a Python MCP server from scratch?▼

To scaffold a Python MCP server, initialize a project with uv init, add the MCP SDK dependency, and generate the main server file with type-safe tooling and a ready-to-run structure.

What is the best way to create a type-safe MCP server in Python?▼

The best way to create a type-safe MCP server is using @mcp.tool() decorators with Pydantic models, ensuring deterministic setup and robust error handling throughout the generated project.

Does the generated MCP server support streamable-http for remote usage?▼

Yes, the generated MCP server supports streamable-http for remote usage, alongside local stdio transport, allowing flexible deployment configurations out of the box.

What do I need to build an MCP server using uv?▼

To build an MCP server using uv, you need the uv package manager to initialize the project and add dependencies, along with Python to run the type-safe tooling and server logic.

Why use Pydantic models when generating an MCP server?▼

Pydantic models are used when generating an MCP server to enforce type-safe tooling definitions, ensuring deterministic setup, robust error handling, and strict input validation for server tools.