The article distinguishes between three methods for connecting AI models to data stacks: Model Context Protocol (MCP), function calling, and plugins. MCP, an open standard by Anthropic, allows real-time, bidirectional tool use by models like Claude, where the model actively participates in the session. Function calling, a lower-level API pattern, gives the user's code full control over tool execution and argument handling, making it suitable for batch jobs and deterministic workflows. Plugins are described as a packaging and distribution layer for MCP or function calling, enabling broader sharing of tools without direct code access. AI
IMPACT Clarifies integration patterns, helping developers choose the most efficient method for connecting AI models to data stacks.
RANK_REASON Article explains different methods for integrating AI models with existing systems.
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