MCP Server: Vital AI Agent Infrastructure
The objective of the model reference protocol developed by AI company Anthropic is Standlore how LLM interacts with external data sources and equipment In a bidishist and memory manner to improve your context for logic. This is important for the manufacture of AI agents and for it Vibe codingA development practice in which LLM is directed to manufacture complete applications based on natural language signals from humans.
Continued less than a year ago, the protocol has seen rapid adoption with thousands of servers – application that connects LLM with specific services and ownership equipment – now is now published online. Anthropic has published the reference implementation of the MCP server to interact with Google Drive, Slack, Githb, Git, Postgrase, Pupiter, Stripe and other popular services. In March, Openai adopted MCP, and Google announced plans to integrate MCP with its Gemini model and infrastructure in April.
There are also McPs that integrate with popular AI-Casted Integrated Development Environment (IDE) such as cursor, windsurf and zed. In addition to reaching the outer tool, MCPS can interact with the local file system, create knowledge graphs in the system memory, obtain web content using the local command line tool, and can execute the system command between other functions.
