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Boilerplate

Connect AI models to data sources using the Model Context Protocol with this production-ready server implementation.

About

This boilerplate provides a robust and standardized implementation of the Model Context Protocol (MCP) server, enabling seamless connection of AI models to diverse data sources and tools. Built with TypeScript and featuring SSE transport, comprehensive error handling, and built-in tools, it ensures enterprise-grade stability and performance. The boilerplate also includes session management, API key authentication, and graceful shutdown handling, providing a solid foundation for building custom MCP servers.

Key Features

  • Implements MCP Server-Sent Events (SSE) transport
  • Supports session management for multiple client connections
  • Includes example tools with type definitions
  • Offers logging capabilities with different severity levels
  • 5 GitHub stars
  • Provides secure authentication with API key

Use Cases

  • Building custom MCP servers with a robust structure
  • Connecting AI models to various data sources
  • Standardizing communication between clients and AI models
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