Python MCP Server Template

@aj-geddes

Repository

Basic information

About Python MCP Server Template

Production-ready Python MCP server template using FastMCP framework

Python MCP Server Template config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Python MCP Server Template tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Python MCP Server Template?

A production-ready, security-first template for building Model Context Protocol (MCP) servers with Python using the FastMCP framework. It provides built-in Docker support, automated testing, and enterprise-grade CI/CD, enabling developers to go from zero to production in minutes.

How to use Python MCP Server Template?

Clone the repository and follow the provided CI/CD and Docker setup to scaffold a new MCP server. The template includes pre-configured testing, linting, and security scanning.

Key features of Python MCP Server Template

Security first with built-in path validation and vulnerability management
Production ready with Docker containerization and health checks
Quality assured through automated testing and code formatting
Well documented with examples and contribution guidelines
Community driven with issue templates and PR workflows

Use cases of Python MCP Server Template

AI developers building MCP-enabled applications
Teams integrating with Claude and other AI systems
DevOps engineers deploying scalable AI tool services
Researchers prototyping AI agent capabilities
Startups building AI-powered products

Frequently asked questions

What Python version is required?

The template requires Python 3.10 or higher.

Does it support Docker?

Yes, Docker is enabled and integrated for containerization and deployment.

What testing framework is used?

pytest is used for automated testing, with coverage targets of 80% or higher.

What license applies?

The template is released under the MIT license.

What CI/CD is included?

GitHub Actions workflows for Python code quality checks are included.

Comments

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