A TypeScript framework for building Model Context Protocol servers with a decorator-based API, enabling custom tools, resources, and prompts for AI applications.
A TypeScript framework for building MCP servers with declarative tool, resource, and prompt definitions, built-in auth, multi-backend storage, and observability.
A TypeScript implementation of a Model Context Protocol server that provides a frictionless framework for developers to build and deploy AI tools and prompts, focusing on developer experience with zero boilerplate and automatic tool registration.
A TypeScript framework for building stateless MCP servers, simplifying tool, resource, and prompt definitions with built-in auth, streaming, and edge deployment support.
A TypeScript toolkit for building Model Context Protocol servers with tools, prompts, resources, middleware, and testing helpers, reducing boilerplate.
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.