A template/boilerplate MCP server for building custom tools and integrations that enable seamless connections between AI applications and external data sources.
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 minimal template MCP server demonstrating basic tools, resources, and prompts functionality. Includes example implementations like a hello tool, history resource, and greet prompt for learning MCP development.
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.