文章摘要
The Model Context Protocol (MCP) is a standardized method that empowers AI models, notably Anthropic's Claude, to engage with external tools and real-time data sources. It significantly expands AI capabilities by allowing models to perform actions beyond their initial training sets, ensuring more accurate and current interactions.
- MCP functions through a client-server architecture, where an AI client dispatches structured, JSON-formatted requests to an MCP Server.
- The MCP Server then orchestrates the execution of specified tools, such as external APIs, databases, or web scraping utilities.
- Results from these tool executions are subsequently relayed back to the AI model, enriching its operational context.
- This protocol is vital for developing advanced AI assistants capable of dynamic information retrieval, complex task execution, and reducing the likelihood of generating inaccurate information.