A powerful, production-ready MCP server implementing the Model Context Protocol with robust SSE transport, built-in tools, and comprehensive error handling. Seamlessly connect AI models to data sources with enterprise-grade stability and performance.
Overview
What is MCP Boilerplate?
MCP Boilerplate is a powerful, production-ready server that implements the Model Context Protocol, designed to connect AI models to data sources with enterprise-grade stability and performance.
How to use MCP Boilerplate?
To use MCP Boilerplate, clone the repository, install the dependencies, and start the server. You can then connect your AI models and stream data using the provided endpoints.
Key features of MCP Boilerplate?
- Production-ready with enterprise-grade stability.
- Robust SSE transport for efficient data streaming.
- Comprehensive error handling for smooth operation.
- Built-in tools to facilitate development and deployment.
- Seamless integration with various data sources.
Use cases of MCP Boilerplate?
- Connecting AI models to real-time data sources.
- Streaming data efficiently to clients.
- Managing and debugging AI model connections with detailed error reporting.
FAQ from MCP Boilerplate?
- What is the Model Context Protocol?
It is a protocol designed to facilitate the connection between AI models and data sources.
- Is MCP Boilerplate free to use?
Yes! MCP Boilerplate is open-source and free to use.
- What are the prerequisites for using MCP Boilerplate?
You need Node.js (version 14 or higher) and npm installed on your machine.