Python MCP Server Template
@aj-geddes
About Python MCP Server Template
Production-ready Python MCP server template using FastMCP framework
Config
No standard config provided
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RepositoryTools
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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
FAQ from Python MCP Server Template
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.
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.
Basic information
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