Provides a foundational boilerplate for developing custom Model Context Protocol (MCP) servers to integrate with AI assistants.
This boilerplate serves as a comprehensive foundation for developers looking to create custom Model Context Protocol (MCP) servers. It accelerates the development of specialized tools, dynamic resource providers, and reusable prompt templates, enabling seamless integration with a variety of AI assistants such as Claude Desktop, Cursor, and Gemini. By providing a clean project structure, TypeScript support, and automated deployment features, it empowers users to extend AI capabilities with bespoke functionalities and external service integrations.