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 production-ready Python scaffold for building Model Context Protocol (MCP) servers using FastMCP. It provides a structured framework for developers and AI agents to rapidly develop, test, and manage custom tools and workflows.
A bare-bones FastMCP server template designed to serve as a starting point for building custom Model Context Protocol servers. It provides a foundational structure for implementing tools over HTTP and includes a built-in health check utility.