python-mcp-server-generator

Generate a typed Python MCP server scaffold with uv and FastMCP.

Updated Apr 11, 2026
One-click install
npx skills add https://github.com/DebuggingInTears/flowguard-adk --skill python-mcp-server-generator-debuggingintears
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-mcp-server-generator
Source: https://github.com/DebuggingInTears/flowguard-adk/tree/main/.agents/skills/python-mcp-server-generator
Command: npx skills add https://github.com/DebuggingInTears/flowguard-adk --skill python-mcp-server-generator-debuggingintears

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scaffolds a complete, type-safe MCP server boilerplate in Python, reducing setup time and boilerplate work for developers building MCP-based services.

Core Features & Use Cases

  • Project scaffolding with uv and automatic MCP SDK integration
  • Flexible server configuration (transport options, executable entry, and error handling)
  • Tool and resource scaffolding with decorators for tools, resources, and prompts

Quick Start

Initialize a new MCP server project with uv init my-server, install the mcp[cli] dependency, and create a FastMCP-based server entry point.

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 with uv and FastMCP?

To scaffold a Python MCP server, initialize a project with uv init, install the mcp[cli] dependency, and create a FastMCP-based server entry point with fully typed configuration. The generator automatically structures project setup, dependency management, and tool scaffolding.

What is the best way to generate boilerplate for an MCP server in Python?

Generating boilerplate for an MCP server in Python is best handled by using a dedicated scaffolding generator. It creates a ready-to-run, type-safe project structure with robust error handling, transport configuration, and decorators for tools, resources, and prompts.

Can I configure HTTP transport and error handling for an MCP server?

Yes, you can configure HTTP transport and robust error handling for an MCP server. The generator provides flexible server configuration options that support different transport mechanisms and executable entries to ensure reliable service operation.

How do I add tools and resources to a Python MCP server?

You add tools and resources to a Python MCP server by using built-in decorators for tools, resources, and prompts. The generator scaffolds these components automatically, providing a repeatable boilerplate structure for immediate development.

Do I need to manually manage dependencies when creating an MCP server?

No, you do not need to manually manage dependencies when creating an MCP server. The generator uses uv for project scaffolding and automatically integrates the MCP SDK, handling dependency management and configuration setup seamlessly.