Server Boilerplate

About

This robust, production-ready template simplifies the creation of Model Context Protocol (MCP) servers using Python and FastMCP v2. It offers a comprehensive foundation with a modular architecture, pre-built tooling for math, text processing, and utilities, rich resources for system metrics and data, and example AI prompts. Designed for developer efficiency, it includes robust error handling, logging, validation, extensive testing, and streamlined commands, ensuring a smooth path from development to deployment for any custom MCP server.

Key Features

• Robust Architecture with modular design and clear separation of concerns
• Comprehensive Tooling including mathematical operations, text processing, and utility functions
• 0 GitHub stars
• Production Ready features such as error handling, logging, input validation, and extensive test coverage
• Example AI Prompts for common scenarios like code review and data analysis
• Rich Resources providing system information, performance metrics, and data store capabilities

Use Cases

• Developing custom Model Context Protocol (MCP) servers for AI agent interactions.
• Integrating internal databases, external APIs, and file systems into an MCP server.
• Creating specialized tools and resources for AI models, such as advanced math, text processing, or data access.