A production-ready foundation for developing custom Model Context Protocol (MCP) servers in TypeScript. Provides a complete layered architecture pattern, working example implementation, and comprehensive developer infrastructure to connect AI assistants with external APIs and data sources.
A foundation for developing custom Model Context Protocol servers in TypeScript that connects AI assistants with external APIs and data sources using a complete layered architecture pattern.
A production-ready TypeScript template for building Model Context Protocol (MCP) servers with Zod validation, structured logging, and seamless integration with AI agents like Claude Desktop and Cursor.
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 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.
A foundational project for quickly developing Model Context Protocol servers using the TypeScript SDK and Zod for schema validation. It features pre-implemented examples for tools like a calculator and greeting service, along with templates for managing dynamic resources.
