Facilitates the creation of Model Context Protocol (MCP) servers using TypeScript and Streamable HTTP transport.
Sponsored
This project serves as a TypeScript template designed to accelerate the development of Model Context Protocol (MCP) servers. It provides a robust foundation for building services that can seamlessly integrate and communicate with AI assistants and other MCP clients via Streamable HTTP transport. The template includes a basic HTTP server, example tools, and resource/prompt definitions to help developers quickly set up and extend their MCP integrations.
Key Features
01TypeScript template for MCP server development
02Uses Streamable HTTP transport for communication
03Includes example tools, resources, and prompts
04Development server with hot-reload for efficient coding
05Integrated MCP inspector tool for testing
060 GitHub stars
Use Cases
01Building custom backend services for AI assistants
02Developing specialized tools accessible via the Model Context Protocol
03Creating reusable prompt templates for AI interactions
