# Standardized Protocol

The Model Context Protocol (MCP) is a standardized protocol introduced by Anthropic for the interaction between large language models (LLMs) and external tools and functions, as well as for injecting context into LLMs. It enables models to request real-time information, perform operations in external systems, access professional knowledge bases, and interact with APIs and services. The MCP is similar to a USB hub, serving as a standard interface that reduces the risk of API changes because each MCP server is maintained by its own company, and users only need to integrate it. The MCP server provides three functions: tools, resources, and prompts.

The DataWorks MCP Server is a model context protocol server based on Alibaba Cloud OpenAPI, providing a standardized interface for AI to manage and operate DataWorks cloud resources.

MCP (Model Context Protocol) is a standardized protocol that enables AI agents to seamlessly communicate with various tools and services. GitHub integration provides repository management, code operations, issue management, and collaboration features.

The MCP Server is a server that implements the Model Context Protocol, supporting standardized interaction between large language models and external tools and services, providing support for multiple tools, RESTful APIs, and automated documentation.

This project showcases an MCP service architecture based on Node.js, including backend API services, an MCP server, and a client-side AI chatbot. The MCP server standardizes the API access method, and the client implements the custom data storage function by integrating MCP capabilities.