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.