Provides a foundational template for building custom Model Context Protocol (MCP) servers to integrate with various AI assistants.
This boilerplate offers a robust starting point for developers aiming to create custom Model Context Protocol (MCP) servers. It simplifies the process of developing specialized tools, dynamic resource providers, and reusable prompt templates that can seamlessly integrate with AI assistants like Claude Desktop, Cursor, Claude Code, and Gemini. By providing a clean architecture, TypeScript support, and essential setup, it enables rapid development of tailored AI functionalities and external API integrations.