What is model context protocol? MCP explained

Model Context Protocol (MCP) is an open standard that facilitates seamless connections between AI models and external tools, data sources, and services, similar to a universal interface like USB-C for AI. Introduced by Anthropic, MCP addresses the fragmentation problem within the AI tool-use ecosystem by standardizing these connections, allowing tools to work across different AI platforms without requiring custom integration code for each combination. This protocol is community-governed and promotes linear scaling by reducing the need for multiple individual integrations. MCP's architecture includes hosts, clients, and servers, where hosts are the AI applications, clients manage connections, and servers expose tools, resources, and prompts via JSON-RPC or HTTP. MCP's practical applications include database, Google Drive, and GitHub integrations, enabling AI models to interact with databases, documents, and repositories effortlessly. CodeWords exemplifies the potential of MCP, providing extensive integrations and simplifying AI workflow connectivity, thereby supporting a standardized future for tool integration.

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