These sources explain the Model Context Protocol (MCP), a new standard pioneered by Anthropic, which acts like a "USB-C for AI" to enable large language models (LLMs) to connect with external tools and data sources in a standardised way. The text details how MCP overcomes the previous inefficient system of bespoke integrations by providing a common language for AI applications (Hosts) to interact with specialised programs (Servers) offering specific functionalities like accessing files, databases, or APIs. The sources also explore the architecture of MCP, highlighting key components like Clients, Resources, Tools, and Prompts, and contrast it with traditional APIs and development frameworks like LangChain. Finally, the materials discuss the growing ecosystem of MCP servers, their potential use cases in areas like coding assistance and enterprise integration, and importantly, the significant security considerations and challenges associated with this emerging technology.
