Technical breakthrough and application practice of MCP protocol
Model Context Protocol (MCP), as the core technology of Smithery, is designed with the goal of breaking down the data barriers between LLM and external tools. This protocol enables AI models to directly invoke web search, database query and other kinds of tool services through standardized interface specifications.
In practical applications, MCP shows three key features: first, it supports local/remote dual-mode deployment, which ensures data privacy and takes into account performance requirements; second, the protocol has a built-in security mechanism that manages sensitive information through environment variables; and third, it realizes workflow automation and supports multi-step task scheduling. A typical case is the GitHub MCP server, where developers only need to set up personal access tokens, and AI can automatically perform complex operations such as code submission and repository management.
This answer comes from the articleSmithery: an MCP server registration platform that connects AI with toolsThe
