A minimal, well-structured starter template for building Model Context Protocol (MCP) servers using Python and the FastMCP framework. It includes boilerplate for tools, testing setup, and modern Python packaging to accelerate server development.
A basic starter project for building Model Context Protocol (MCP) servers that enables standardized interactions between AI systems and various data sources through secure, controlled tool implementations.
A simple boilerplate MCP server that provides a basic greeting tool for demonstration purposes. Serves as a starting template for developers to quickly create and deploy custom MCP servers.
A corporate MCP server template in Python, built with FastMCP for stateless, scalable deployment behind a load balancer with health/readiness endpoints and JSON structured logging.