Accelerates the development of custom tools, resources, and prompts for AI assistants using the Model Context Protocol.
About
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
- TypeScript support with proper type definitions
- Clean, customizable project structure
- Simple "hello-world" tool example
- Easy installation scripts for various MCP clients
- 0 GitHub stars
Use Cases
- Building custom tools for AI assistants
- Developing reusable prompt templates for AI operations
- Creating resource providers for dynamic content
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