antonioscapellato_mcp-server-sample

The Model Context Protocol (MCP) server is designed to standardize the way applications provide context to Large Language Models (LLMs). By acting as a bridge, MCP servers allow seamless integration between AI models and diverse data sources or tools. This protocol is akin to a universal connector, like a USB-C port, for AI applications, ensuring compatibility and ease of use. The architecture of MCP follows a client-server model, where host applications can connect to multiple servers, enabling a flexible and scalable system. MCP servers expose specific capabilities through the standardized protocol, allowing for efficient data access and manipulation. The core concepts of MCP include resources, tools, and prompts, which facilitate interaction between clients and servers. With the growing list of pre-built integrations, MCP offers flexibility in switching between LLM providers and ensures best practices for data security within an infrastructure. The server is lightweight and can access both local and remote data sources, making it a versatile solution for various applications.