A minimal, production-ready TypeScript starter template for building Model Context Protocol (MCP) servers with auto-loading architecture for tools, resources, and prompts. Provides boilerplate code, generators, and examples to quickly create MCP servers that can connect AI applications to any data source or tool.
A minimal, production-ready TypeScript template for building Model Context Protocol servers with auto-loading architecture for tools, resources, and prompts, supporting both stdio and HTTP transports.
A customizable, production-ready template for building Model Context Protocol servers with dual transport support (stdio and HTTP), TypeScript, Docker support, and extensible architecture for tools, resources, and prompts.
A production-grade TypeScript starter for building Model Context Protocol servers, supporting stdio and Streamable HTTP transports with modular tools, resources, and prompts.
A TypeScript MCP server template with Zod validation, dual transport (stdio/HTTP), and modular architecture for building MCP-compatible tools, resources, and prompts.
A Model Context Protocol (MCP) server template designed for building structured tools, prompts, and resources with built-in support for HTTP and STDIO transports. It provides a standardized framework for developers to create and deploy AI-driven services using TypeScript and Zod schema validation.
