Model Context Protocol (MCP) explained: An FAQ

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Introduces the Model Context Protocol (MCP) as a new specification for standardizing how LLMs access data and systems, enabling safe and predictable interactions by exposing data sources, tools, and context to models and agents. MCP servers act as universal connectors between AI and applications, allowing developers to create integrations once and use them everywhere. The AI SDK and mcp-handler provide abstractions for easily creating MCP servers, supporting various transports like StreamableHTTP and stdio. MCP servers are distinct from AI agents, with the agent planning actions and the MCP server defining what actions are possible. Use cases include e-commerce, finance, and marketing, enabling models to interact with real systems safely and predictably.