Maps
Provides a foundational template for developing custom Model Context Protocol servers compatible with AI assistants.
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This boilerplate serves as a versatile starting point for developers aiming to create custom servers compatible with Model Context Protocol (MCP). It simplifies the process of building specialized tools, dynamic resource providers, and reusable prompt templates for AI assistants like Claude and Cursor. Developers can leverage this template to quickly integrate external APIs and services, accelerating the creation of powerful extensions for various AI environments.
Características Principales
- Offers TypeScript support with proper type definitions
- Features a clean project structure ready for customization
- 0 GitHub stars
- Includes a simple 'hello-world' tool example
- Provides easy installation scripts for various MCP clients
Casos de Uso
- Building custom tools for AI assistants
- Creating resource providers for dynamic content
- Developing prompt templates for common operations
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