Accelerates the development of custom tools, resources, and prompts for AI assistants using the Model Context Protocol.
This boilerplate offers a streamlined starting point for developing custom functionalities for AI assistants compatible with the Model Context Protocol (MCP). It provides a structured environment to create unique tools, integrate external APIs and services, manage dynamic content through resources, and define reusable prompt templates. Designed for quick setup, it facilitates the expansion of AI capabilities for platforms like Claude and Cursor by enabling easy customization and deployment of new server-side logic.
Key Features
01TypeScript support with proper type definitions
02Clean, customizable project structure
03Simple "hello-world" tool example
04Easy installation scripts for various MCP clients
050 GitHub stars
Use Cases
01Building custom tools for AI assistants
02Developing reusable prompt templates for AI operations
